2022
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1. | Dabek, Przemyslaw; Szrek, Jaroslaw; Zimroz, Radoslaw; Wodecki, Jacek An Automatic Procedure for Overheated Idler Detection in Belt Conveyors Using Fusion of Infrared and RGB Images Acquired during UGV Robot Inspection Journal Article In: Energies, vol. 15, no. 2, pp. 601, 2022. @article{dabek2022automatic,
title = {An Automatic Procedure for Overheated Idler Detection in Belt Conveyors Using Fusion of Infrared and RGB Images Acquired during UGV Robot Inspection},
author = {Przemyslaw Dabek and Jaroslaw Szrek and Radoslaw Zimroz and Jacek Wodecki},
url = {https://doi.org/10.3390/en15020601},
year = {2022},
date = {2022-01-14},
urldate = {2022-01-14},
journal = {Energies},
volume = {15},
number = {2},
pages = {601},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {AMICOS, Analytics, bearings, condition monitoring, damge, Diagnostics, fault detection, Measurements, Mining, mobile robot, Processing, Remote sensing, Robotics, Temperature, thermal hazard},
pubstate = {published},
tppubtype = {article}
}
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2021
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2. | Banasiewicz, Aleksandra; Wroblewski, Adam; Gola, Sebastian Preliminary sources identification of nitric oxide (NO) emissions in underground mine Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012019, 2021. @article{Banasiewicz2021,
title = {Preliminary sources identification of nitric oxide (NO) emissions in underground mine},
author = {Aleksandra Banasiewicz and Adam Wroblewski and Sebastian Gola},
url = {https://doi.org/10.1088/1755-1315/942/1/012019},
doi = {10.1088/1755-1315/942/1/012019},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012019},
publisher = {IOP Publishing},
keywords = {gas hazard, mine ventilation, nitric oxide, NO, underground mining},
pubstate = {published},
tppubtype = {article}
}
|
3. | Wroblewski, Adam; Banasiewicz, Aleksandra; Gola, Sebastian Heat Balance Determination Methods for Mining Areas in Underground Mines - A Review Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012011, 2021. @article{Wrblewski2021,
title = {Heat Balance Determination Methods for Mining Areas in Underground Mines - A Review},
author = {Adam Wroblewski and Aleksandra Banasiewicz and Sebastian Gola},
url = {https://doi.org/10.1088/1755-1315/942/1/012011},
doi = {10.1088/1755-1315/942/1/012011},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012011},
publisher = {IOP Publishing},
keywords = {heat balance, mine ventilation, thermal hazard, underground mining},
pubstate = {published},
tppubtype = {article}
}
|
4. | Goralczyk, Mateusz; Michalak, Anna; Sliwinski, Pawel Drill bit deterioration estimation with the Random Forest Regressor Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012013, 2021. @article{Gralczyk2021,
title = {Drill bit deterioration estimation with the Random Forest Regressor},
author = {Mateusz Goralczyk and Anna Michalak and Pawel Sliwinski},
url = {https://doi.org/10.1088/1755-1315/942/1/012013},
doi = {10.1088/1755-1315/942/1/012013},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012013},
publisher = {IOP Publishing},
keywords = {drilling rig, Machine Learning, prediction, process performance, Random Forest Regressor, SafeMe4Mine},
pubstate = {published},
tppubtype = {article}
}
|
5. | Zietek, Bartlomiej; Wodecki, Jacek; Michalak, Anna; Sliwinski, Pawel Drill bit state-oriented drilling process classification with time-series data for wheeled drilling rigs Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012010, 2021. @article{Zitek2021,
title = {Drill bit state-oriented drilling process classification with time-series data for wheeled drilling rigs},
author = {Bartlomiej Zietek and Jacek Wodecki and Anna Michalak and Pawel Sliwinski},
url = {https://doi.org/10.1088/1755-1315/942/1/012010},
doi = {10.1088/1755-1315/942/1/012010},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012010},
publisher = {IOP Publishing},
keywords = {classification, dendrogram, SafeMe4Mine, threshold-based segmentation, underground drilling},
pubstate = {published},
tppubtype = {article}
}
|
6. | Rudzki, Pawel; Krot, Pavlo Dynamics control of powered hydraulic roof supports in the underground longwall mining complex Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012014, 2021. @article{Rudzki2021,
title = {Dynamics control of powered hydraulic roof supports in the underground longwall mining complex},
author = {Pawel Rudzki and Pavlo Krot},
url = {https://doi.org/10.1088/1755-1315/942/1/012014},
doi = {10.1088/1755-1315/942/1/012014},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012014},
publisher = {IOP Publishing},
keywords = {dynamics, hydraulics, pressure peak, safety},
pubstate = {published},
tppubtype = {article}
}
|
7. | Michalak, Anna; Wodecki, Jacek Parametric simulator of cyclic and non-cyclic impulsive vibration signals for diagnostic research applications Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012015, 2021. @article{Michalak2021b,
title = {Parametric simulator of cyclic and non-cyclic impulsive vibration signals for diagnostic research applications},
author = {Anna Michalak and Jacek Wodecki},
url = {https://doi.org/10.1088/1755-1315/942/1/012015},
doi = {10.1088/1755-1315/942/1/012015},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012015},
publisher = {IOP Publishing},
keywords = {autoregressive model, non-cyclic impulsive noise, nonstationary signal, OPMO, simulations, vibration data},
pubstate = {published},
tppubtype = {article}
}
|
8. | Wodecki, Jacek; Michalak, Anna Fault-related impulsive component detection for vibration-based diagnostics in the presence of random impulsive noise Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012016, 2021. @article{Wodecki2021,
title = {Fault-related impulsive component detection for vibration-based diagnostics in the presence of random impulsive noise},
author = {Jacek Wodecki and Anna Michalak},
url = {https://doi.org/10.1088/1755-1315/942/1/012016},
doi = {10.1088/1755-1315/942/1/012016},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012016},
publisher = {IOP Publishing},
keywords = {Cyclic Spectral Coherence, decomposition, fault detection, Nonnegative Matrix Factorization, OPMO, vibration signal},
pubstate = {published},
tppubtype = {article}
}
|
9. | Zimroz, Pawel; Shiri, Hamid; Wodecki, Jacek Analysis of the vibro-acoustic data from test rig -comparison of acoustic and vibrational methods Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012017, 2021. @article{Zimroz2021,
title = {Analysis of the vibro-acoustic data from test rig -comparison of acoustic and vibrational methods},
author = {Pawel Zimroz and Hamid Shiri and Jacek Wodecki},
url = {https://doi.org/10.1088/1755-1315/942/1/012017},
doi = {10.1088/1755-1315/942/1/012017},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012017},
publisher = {IOP Publishing},
keywords = {acoustic signal processing, AMICOS, amplitude demodulation, rotating machines, UAV, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
10. | Zimroz, Pawel; Wroblewski, Adam; Trybala, Pawel Detection of a predefined acoustic pattern by a measurement system on a drone and its application to search for a missing man in an underground mine Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012018, 2021. @article{Zimroz2021b,
title = {Detection of a predefined acoustic pattern by a measurement system on a drone and its application to search for a missing man in an underground mine},
author = {Pawel Zimroz and Adam Wroblewski and Pawel Trybala},
url = {https://doi.org/10.1088/1755-1315/942/1/012018},
doi = {10.1088/1755-1315/942/1/012018},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012018},
publisher = {IOP Publishing},
keywords = {acoustic signal processing, AMICOS, novelty detection, search and rescue, time-frequency analysis, UAV},
pubstate = {published},
tppubtype = {article}
}
|
11. | Shiri, Hamid; Wodecki, Jacek Analysis of the sound signal to fault detection of bearings based on Variational Mode Decomposition Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012020, 2021. @article{Shiri2021,
title = {Analysis of the sound signal to fault detection of bearings based on Variational Mode Decomposition},
author = {Hamid Shiri and Jacek Wodecki},
url = {https://doi.org/10.1088/1755-1315/942/1/012020},
doi = {10.1088/1755-1315/942/1/012020},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012020},
publisher = {IOP Publishing},
keywords = {AMICOS, bearings, damge, sound},
pubstate = {published},
tppubtype = {article}
}
|
12. | Trybala, Pawel LiDAR-based Simultaneous Localization and Mapping in an underground mine in Złoty Stok, Poland Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 942, no. 1, pp. 012035, 2021. @article{Trybaa2021,
title = {LiDAR-based Simultaneous Localization and Mapping in an underground mine in Złoty Stok, Poland},
author = {Pawel Trybala},
url = {https://doi.org/10.1088/1755-1315/942/1/012035},
doi = {10.1088/1755-1315/942/1/012035},
year = {2021},
date = {2021-12-08},
urldate = {2021-12-08},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {942},
number = {1},
pages = {012035},
publisher = {IOP Publishing},
keywords = {AMICOS, Laser Scanning, mobile robot, point cloud, simultaneous localization and mapping},
pubstate = {published},
tppubtype = {article}
}
|
13. | Shiri, Hamid; Wodecki, Jacek; Zietek, Bartlomiej; Zimroz, Radoslaw Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler Journal Article In: Energies, vol. 14, no. 22, pp. 7646, 2021. @article{Shiri2021b,
title = {Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler},
author = {Hamid Shiri and Jacek Wodecki and Bartlomiej Zietek and Radoslaw Zimroz},
url = {https://doi.org/10.3390/en14227646},
doi = {10.3390/en14227646},
year = {2021},
date = {2021-11-16},
urldate = {2021-11-16},
journal = {Energies},
volume = {14},
number = {22},
pages = {7646},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
14. | Zinchenko, Andrii; Baiul, Kostiantyn; Krot, Pavlo; Khudyakov, Aleksander; Vashchenko, Sergii; Banasiewicz, Aleksandra; Wroblewski, Adam Materials Selection and Design Options Analysis for a Centrifugal Fan Impeller in a Horizontal Conveyor Dryer Journal Article In: Materials, vol. 14, no. 21, pp. 6696, 2021. @article{Zinchenko2021,
title = {Materials Selection and Design Options Analysis for a Centrifugal Fan Impeller in a Horizontal Conveyor Dryer},
author = {Andrii Zinchenko and Kostiantyn Baiul and Pavlo Krot and Aleksander Khudyakov and Sergii Vashchenko and Aleksandra Banasiewicz and Adam Wroblewski},
url = {https://doi.org/10.3390/ma14216696},
doi = {10.3390/ma14216696},
year = {2021},
date = {2021-11-07},
urldate = {2021-11-07},
journal = {Materials},
volume = {14},
number = {21},
pages = {6696},
publisher = {MDPI AG},
keywords = {centrifugal fan, FEM, horizontal conveyor dryer, raw materials},
pubstate = {published},
tppubtype = {article}
}
|
15. | Zimroz, Pawel; Trybala, Pawel; Wroblewski, Adam; Goralczyk, Mateusz; Szrek, Jarosław; Wojcik, Agnieszka; Zimroz, Radoslaw Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal Journal Article In: Energies, vol. 14, no. 13, 2021, ISSN: 1996-1073. @article{en14133725,
title = {Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal},
author = {Pawel Zimroz and Pawel Trybala and Adam Wroblewski and Mateusz Goralczyk and Jarosław Szrek and Agnieszka Wojcik and Radoslaw Zimroz},
url = {https://www.mdpi.com/1996-1073/14/13/3725},
doi = {10.3390/en14133725},
issn = {1996-1073},
year = {2021},
date = {2021-06-22},
journal = {Energies},
volume = {14},
number = {13},
abstract = {The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue activities in a deep underground mine has been investigated. In the presented case study, a UAV is searching for a lost or injured human who is able to call for help but is not able to move or use any communication device. A UAV capturing acoustic data while flying through underground corridors is used. The acoustic signal is very noisy since during the flight the UAV contributes high-energetic emission. The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV. The proposed acoustic signal processing technique is based on time-frequency representation and Euclidean distance measurement between reference spectrum (UAV noise only) and captured data. As both the UAV and “injured” person were equipped with synchronized microphones during the experiment, validation has been performed. Two experiments carried out in lab conditions, as well as one in an underground mine, provided very satisfactory results.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue activities in a deep underground mine has been investigated. In the presented case study, a UAV is searching for a lost or injured human who is able to call for help but is not able to move or use any communication device. A UAV capturing acoustic data while flying through underground corridors is used. The acoustic signal is very noisy since during the flight the UAV contributes high-energetic emission. The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV. The proposed acoustic signal processing technique is based on time-frequency representation and Euclidean distance measurement between reference spectrum (UAV noise only) and captured data. As both the UAV and “injured” person were equipped with synchronized microphones during the experiment, validation has been performed. Two experiments carried out in lab conditions, as well as one in an underground mine, provided very satisfactory results. |
16. | Trybala, Pawel; Gattner, Agata Development of a Building Topological Model for Indoor Navigation Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 684, no. 1, pp. 012031, 2021. @article{Trybala2021,
title = {Development of a Building Topological Model for Indoor Navigation},
author = {Pawel Trybala and Agata Gattner},
url = {https://doi.org/10.1088/1755-1315/684/1/012031},
doi = {10.1088/1755-1315/684/1/012031},
year = {2021},
date = {2021-03-01},
urldate = {2021-03-01},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {684},
number = {1},
pages = {012031},
publisher = {IOP Publishing},
keywords = {building modelling, indoor navigation},
pubstate = {published},
tppubtype = {article}
}
|
17. | Zietek, Bartlomiej; Krot, Pavlo; Borkowski, Przemyslaw An overview of torque meters and new devices development for condition monitoring of mining machines Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 684, no. 1, pp. 012019, 2021. @article{Zietek2021,
title = {An overview of torque meters and new devices development for condition monitoring of mining machines},
author = {Bartlomiej Zietek and Pavlo Krot and Przemyslaw Borkowski},
url = {https://doi.org/10.1088/1755-1315/684/1/012019},
doi = {10.1088/1755-1315/684/1/012019},
year = {2021},
date = {2021-03-01},
urldate = {2021-03-01},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {684},
number = {1},
pages = {012019},
publisher = {IOP Publishing},
keywords = {condition monitoring, MaMMa, mining machines, overloads, SafeMe4Mine, torque, torsional vibration, wireless sensors},
pubstate = {published},
tppubtype = {article}
}
|
18. | Banasiewicz, Aleksandra Analysis of historical changes in the limit value of nitrogen oxides concentrations for underground mining Journal Article In: IOP Conference Series: Earth and Environmental Science, vol. 684, no. 1, pp. 012018, 2021. @article{Banasiewicz2021b,
title = {Analysis of historical changes in the limit value of nitrogen oxides concentrations for underground mining},
author = {Aleksandra Banasiewicz},
url = {https://doi.org/10.1088/1755-1315/684/1/012018},
doi = {10.1088/1755-1315/684/1/012018},
year = {2021},
date = {2021-03-01},
urldate = {2021-03-01},
journal = {IOP Conference Series: Earth and Environmental Science},
volume = {684},
number = {1},
pages = {012018},
publisher = {IOP Publishing},
keywords = {gas hazard, nitric oxide, nitrogen oxides, NOx, SafeMe4Mine, underground mining},
pubstate = {published},
tppubtype = {article}
}
|
19. | Wodecki, Jacek; Michalak, Anna; Zimroz, Radoslaw Local damage detection based on vibration data analysis in the presence of Gaussian and heavy-tailed impulsive noise Journal Article In: Measurement, vol. 169, pp. 108400, 2021, ISSN: 0263-2241. @article{WODECKI2021108400,
title = {Local damage detection based on vibration data analysis in the presence of Gaussian and heavy-tailed impulsive noise},
author = {Jacek Wodecki and Anna Michalak and Radoslaw Zimroz},
url = {http://www.sciencedirect.com/science/article/pii/S0263224120309349},
doi = {https://doi.org/10.1016/j.measurement.2020.108400},
issn = {0263-2241},
year = {2021},
date = {2021-01-01},
journal = {Measurement},
volume = {169},
pages = {108400},
keywords = {Crusher, Diagnostics, Nonnegative Matrix Factorization, OPMO, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
20. | Wodecki, Jacek; Michalak, Anna; Wylomanska, Agnieszka; Zimroz, Radoslaw Influence of non-Gaussian noise on the effectiveness of cyclostationary analysis - simulations and real data analysis Journal Article In: Measurement, pp. 108814, 2021. @article{Wodecki2020b,
title = {Influence of non-Gaussian noise on the effectiveness of cyclostationary analysis - simulations and real data analysis},
author = {Jacek Wodecki and Anna Michalak and Agnieszka Wylomanska and Radoslaw Zimroz },
url = {https://doi.org/10.1016/j.measurement.2020.108814},
doi = {10.1016/j.measurement.2020.108814},
year = {2021},
date = {2021-01-01},
journal = {Measurement},
pages = {108814},
publisher = {Elsevier BV},
keywords = {Crusher, Cyclic Spectral Coherence, Cyclostationarity, OPMO, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
21. | Szrek, Jaroslaw; Zimroz, Radoslaw; Wodecki, Jacek; Michalak, Anna; Goralczyk, Mateusz; Worsa-Kozak, Magdalena Application of the infrared thermography and Unmanned Ground Vehicle for rescue action support in undergroundmine - the AMICOS project Journal Article In: Remote Sensing , vol. 13, no. 1, pp. 69, 2021. @article{Szrek2020b,
title = {Application of the infrared thermography and Unmanned Ground Vehicle for rescue action support in undergroundmine - the AMICOS project},
author = {Jaroslaw Szrek and Radoslaw Zimroz and Jacek Wodecki and Anna Michalak and Mateusz Goralczyk and Magdalena Worsa-Kozak },
url = {https://www.mdpi.com/2072-4292/13/1/69},
doi = {https://doi.org/10.3390/rs13010069},
year = {2021},
date = {2021-01-01},
journal = {Remote Sensing },
volume = {13},
number = {1},
pages = {69},
abstract = {Extraction of raw materials, especially in extremely harsh underground mine conditions is irrevocably associated with high risk and probability of accidents. Natural hazards, heavy-duty machines, used technologies even if all perfectly organized - may result in an accident. In such critical situation, rescue actions may require advanced technologies as an autonomous mobile robot, the various sensory system including gas detector, infrared thermography, image acquisition, advanced analytics, etc. In the paper, we describe several scenarios related to rescue action in an underground mine with the assumption that searching for sufferers should be done with potential seismic, gas, high temperature, etc. hazards. Thus the possibility of rescue team activities in such areas may be highly risky. This work reports results of testing of UGV robotic system in underground mine developed in the frame of AMICOS project. The system consists of UGV with a sensory system and an image processing module based on the adaptation of YOLO and HOG algorithms. The experiment was very successful, human detection efficiency was very promising. Future work will be related to test the AMICOS technology in deep copper ore mines. },
keywords = {AMICOS, Remote sensing, Robotics},
pubstate = {published},
tppubtype = {article}
}
Extraction of raw materials, especially in extremely harsh underground mine conditions is irrevocably associated with high risk and probability of accidents. Natural hazards, heavy-duty machines, used technologies even if all perfectly organized - may result in an accident. In such critical situation, rescue actions may require advanced technologies as an autonomous mobile robot, the various sensory system including gas detector, infrared thermography, image acquisition, advanced analytics, etc. In the paper, we describe several scenarios related to rescue action in an underground mine with the assumption that searching for sufferers should be done with potential seismic, gas, high temperature, etc. hazards. Thus the possibility of rescue team activities in such areas may be highly risky. This work reports results of testing of UGV robotic system in underground mine developed in the frame of AMICOS project. The system consists of UGV with a sensory system and an image processing module based on the adaptation of YOLO and HOG algorithms. The experiment was very successful, human detection efficiency was very promising. Future work will be related to test the AMICOS technology in deep copper ore mines. |
22. | Szrek, Jaroslaw; Trybala, Pawel; Góralczyk, Mateusz; Michalak, Anna; Zietek, Bartlomiej; Zimroz, Radoslaw Accuracy Evaluation of Selected Mobile Inspection Robot Localization Techniques in a GNSS-Denied Environment Journal Article In: Sensors, vol. 21, no. 1, pp. 141, 2021. @article{Szrek2021,
title = {Accuracy Evaluation of Selected Mobile Inspection Robot Localization Techniques in a GNSS-Denied Environment },
author = {Jaroslaw Szrek and Pawel Trybala and Mateusz Góralczyk and Anna Michalak and Bartlomiej Zietek and Radoslaw Zimroz},
url = {https://www.mdpi.com/1424-8220/21/1/141},
doi = {https://doi.org/10.3390/s21010141},
year = {2021},
date = {2021-01-01},
journal = {Sensors},
volume = {21},
number = {1},
pages = {141},
keywords = {AMICOS, Robotics},
pubstate = {published},
tppubtype = {article}
}
|
23. | Michalak, Anna; Wodecki, Jacek; Drozda, Michal; Wylomanska, Agnieszka; Zimroz, Radoslaw Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes Journal Article In: Sensors, vol. 21, no. 1, pp. 213, 2021. @article{Michalak2021,
title = {Model of the Vibration Signal of the Vibrating Sieving Screen Suspension for Condition Monitoring Purposes},
author = {Anna Michalak and Jacek Wodecki and Michal Drozda and Agnieszka Wylomanska and Radoslaw Zimroz},
url = {https://www.mdpi.com/1424-8220/21/1/213},
doi = {https://doi.org/10.3390/s21010213},
year = {2021},
date = {2021-01-01},
journal = {Sensors},
volume = {21},
number = {1},
pages = {213},
keywords = {Modeling, OPMO, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
24. | Gursky, Volodymyr; Kuzio, Igor; Krot, Pavlo; Zimroz, Radoslaw Energy-Saving Inertial Drive for Dual-Frequency Excitation of Vibrating Machines Journal Article In: Energies, vol. 14, no. 1, pp. 71, 2021. @article{Gursky2020,
title = {Energy-Saving Inertial Drive for Dual-Frequency Excitation of Vibrating Machines},
author = {Volodymyr Gursky and Igor Kuzio and Pavlo Krot and Radoslaw Zimroz },
url = {https://www.mdpi.com/1996-1073/14/1/71},
doi = {https://doi.org/10.3390/en14010071},
year = {2021},
date = {2021-01-01},
journal = {Energies},
volume = {14},
number = {1},
pages = {71},
keywords = {Electric motor, OPMO, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
25. | Wodecki, Jacek Time-Varying Spectral Kurtosis: Generalization of Spectral Kurtosis for Local Damage Detection in Rotating Machines under Time-Varying Operating Conditions Journal Article In: Sensors, vol. 21, no. 11, pp. 3590, 2021. @article{wodecki2021time,
title = {Time-Varying Spectral Kurtosis: Generalization of Spectral Kurtosis for Local Damage Detection in Rotating Machines under Time-Varying Operating Conditions},
author = {Jacek Wodecki},
url = {https://www.mdpi.com/1424-8220/21/11/3590/htm},
doi = {https://doi.org/10.3390/s21113590},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Sensors},
volume = {21},
number = {11},
pages = {3590},
publisher = {Multidisciplinary Digital Publishing Institute},
abstract = {Vibration-based local damage detection in rotating machines (i.e., rolling element bearings) is typically a problem of detecting low-energy cyclic impulsive modulations in the measured signal. This can be challenging as both the amplitude of a single damage-related impulse and the distance between impulses might be changing in time. From the signal processing point of view, this means time varying regarding the the signal-to-noise ratio, location of information in the frequency domain, and loss of periodicity (this remains cyclic but not periodic). One of the many attempted approaches to this problem is filtration using custom filters derived in a data-driven fashion. One of the methods to obtain such filters is a selector approach, where the value of a certain statistic is calculated for individual frequency bands of a signal that results in the magnitude response of a filter. In this approach, each chosen statistic will yield different results, and the obtained filter will be focused on different frequency bands focusing on different behaviors. One of the most popular and powerful selectors is spectral kurtosis as popularized by Antoni, which uses kurtosis as an operational statistic. Unfortunately, after closer inspection, it is easy to notice that, although selectors can significantly enhance the signal, they accumulate a great deal of noise and other background content of signals, which occupies the space (or rather time) in between the impulses. Another disadvantage is that such filters are time-invariant, because, in the principle of their construction, they are not adaptive, and even slight changes in the signal yield suboptimal results either by missing relevant data when the conditions in the signal change (i.e., informative impulses widen in bandwidth), or by accumulating unnecessary noise when the relevant information is not present (in between impulses or in frequency bands that impulses no longer occupy). To address this issue, I propose generalization of the selector approach using the example of spectral kurtosis. This assumes creating a time-varying selector that can be seen as a spatial filter in the time-frequency domain. The time-varying SK (TVSK) is estimated for segments of the signal, and, instead of a vector of SK-based filter coefficients, one obtains a TVSK-based matrix of coefficients that takes into account the time-varying properties of the signal. The obtained structure is then binarized and used as a filter. The presented method is tested using a simulated signal as well as two real-life signals measured on heavy-duty bearings in two different types of machine.},
keywords = {Diagnostics, OPMO, Spatial denoising, Vibration},
pubstate = {published},
tppubtype = {article}
}
Vibration-based local damage detection in rotating machines (i.e., rolling element bearings) is typically a problem of detecting low-energy cyclic impulsive modulations in the measured signal. This can be challenging as both the amplitude of a single damage-related impulse and the distance between impulses might be changing in time. From the signal processing point of view, this means time varying regarding the the signal-to-noise ratio, location of information in the frequency domain, and loss of periodicity (this remains cyclic but not periodic). One of the many attempted approaches to this problem is filtration using custom filters derived in a data-driven fashion. One of the methods to obtain such filters is a selector approach, where the value of a certain statistic is calculated for individual frequency bands of a signal that results in the magnitude response of a filter. In this approach, each chosen statistic will yield different results, and the obtained filter will be focused on different frequency bands focusing on different behaviors. One of the most popular and powerful selectors is spectral kurtosis as popularized by Antoni, which uses kurtosis as an operational statistic. Unfortunately, after closer inspection, it is easy to notice that, although selectors can significantly enhance the signal, they accumulate a great deal of noise and other background content of signals, which occupies the space (or rather time) in between the impulses. Another disadvantage is that such filters are time-invariant, because, in the principle of their construction, they are not adaptive, and even slight changes in the signal yield suboptimal results either by missing relevant data when the conditions in the signal change (i.e., informative impulses widen in bandwidth), or by accumulating unnecessary noise when the relevant information is not present (in between impulses or in frequency bands that impulses no longer occupy). To address this issue, I propose generalization of the selector approach using the example of spectral kurtosis. This assumes creating a time-varying selector that can be seen as a spatial filter in the time-frequency domain. The time-varying SK (TVSK) is estimated for segments of the signal, and, instead of a vector of SK-based filter coefficients, one obtains a TVSK-based matrix of coefficients that takes into account the time-varying properties of the signal. The obtained structure is then binarized and used as a filter. The presented method is tested using a simulated signal as well as two real-life signals measured on heavy-duty bearings in two different types of machine. |
2020
|
26. | Trybala, Pawel; Blachowski, Jan; Blazej, Ryszard; Zimroz, Radoslaw Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface Journal Article In: Remote Sensing, vol. 13, no. 1, pp. 55, 2020. @article{Trybala2020,
title = {Damage Detection Based on 3D Point Cloud Data Processing from Laser Scanning of Conveyor Belt Surface},
author = {Pawel Trybala and Jan Blachowski and Ryszard Blazej and Radoslaw Zimroz},
url = {https://www.mdpi.com/2072-4292/13/1/55},
doi = {https://doi.org/10.3390/rs13010055},
year = {2020},
date = {2020-12-25},
journal = {Remote Sensing},
volume = {13},
number = {1},
pages = {55},
keywords = {AMICOS, Conveyor Belt, Laser Scanning, Remote sensing},
pubstate = {published},
tppubtype = {article}
}
|
27. | Goralczyk, Mateusz; Krot, Pavlo; Zimroz, Radoslaw; Ogonowski, Szymon Increasing Energy Efficiency and Productivity of the Comminution Process in Tumbling Mills by Indirect Measurements of Internal Dynamics—An Overview Journal Article In: Energies, vol. 13, no. 24, 2020. @article{Góralczyk2020,
title = {Increasing Energy Efficiency and Productivity of the Comminution Process in Tumbling Mills by Indirect Measurements of Internal Dynamics—An Overview },
author = {Mateusz Goralczyk and Pavlo Krot and Radoslaw Zimroz and Szymon Ogonowski},
url = {https://www.mdpi.com/1996-1073/13/24/6735},
doi = {https://doi.org/10.3390/en13246735},
year = {2020},
date = {2020-12-21},
journal = {Energies},
volume = {13},
number = {24},
abstract = {Tumbling mills have been widely implemented in many industrial sectors for the grinding of bulk materials. They have been used for decades in the production of fines and in the final stages of ore comminution, where optimal levels for the enrichment particles’ sizes are obtained. Even though these ubiquitous machines of relatively simple construction have been subjected to extensive studies, the industry still struggles with a very low energy efficiency of the comminution process. Moreover, obtaining an optimal size for the grinding product particles is crucial for the effectiveness of the following processes and waste production reduction. New, innovative processing methods and machines are being developed to tackle the problem; however, tumbling mills are still most commonly used in all ranges of the industry. Since heavy equipment retrofitting is the most costly approach, process optimization with dedicated models and control systems is the most preferable solution for energy consumption reduction. While the classic technological measurements in mineral processing are well adopted by the industry, nowadays research focuses on new methods of the mill’s internal dynamics analysis and control. This paper presents a retrospective overview of the existing models of internal load motion, an overview of the innovations in process control, and some recent research and industrial approaches from the energy consumption reduction point of view.},
keywords = {Comminution, Mining, OPMO, Processing},
pubstate = {published},
tppubtype = {article}
}
Tumbling mills have been widely implemented in many industrial sectors for the grinding of bulk materials. They have been used for decades in the production of fines and in the final stages of ore comminution, where optimal levels for the enrichment particles’ sizes are obtained. Even though these ubiquitous machines of relatively simple construction have been subjected to extensive studies, the industry still struggles with a very low energy efficiency of the comminution process. Moreover, obtaining an optimal size for the grinding product particles is crucial for the effectiveness of the following processes and waste production reduction. New, innovative processing methods and machines are being developed to tackle the problem; however, tumbling mills are still most commonly used in all ranges of the industry. Since heavy equipment retrofitting is the most costly approach, process optimization with dedicated models and control systems is the most preferable solution for energy consumption reduction. While the classic technological measurements in mineral processing are well adopted by the industry, nowadays research focuses on new methods of the mill’s internal dynamics analysis and control. This paper presents a retrospective overview of the existing models of internal load motion, an overview of the innovations in process control, and some recent research and industrial approaches from the energy consumption reduction point of view. |
28. | Wodecki, Jacek; Góralczyk, Mateusz; Krot, Pavlo; Zietek, Bartlomiej; Szrek, Jaroslaw; Worsa-Kozak, Magdalena; Zimroz, Radoslaw; Sliwinski, Pawel; Czajkowski, Andrzej Process Monitoring in Heavy Duty Drilling Rigs—Data Acquisition System and Cycle Identification Algorithms Journal Article In: Energies, vol. 13, no. 24, pp. 6748, 2020. @article{Wodecki2020c,
title = {Process Monitoring in Heavy Duty Drilling Rigs—Data Acquisition System and Cycle Identification Algorithms},
author = {Jacek Wodecki and Mateusz Góralczyk and Pavlo Krot and Bartlomiej Zietek and Jaroslaw Szrek and Magdalena Worsa-Kozak and Radoslaw Zimroz and Pawel Sliwinski and Andrzej Czajkowski},
url = {https://www.mdpi.com/1996-1073/13/24/6748},
doi = {https://doi.org/10.3390/en13246748},
year = {2020},
date = {2020-12-21},
journal = {Energies},
volume = {13},
number = {24},
pages = {6748},
keywords = {Analytics, Current analysis, Cycle detection, SafeMe4Mine, Time-Frequency Representation},
pubstate = {published},
tppubtype = {article}
}
|
29. | Krot, Pavlo; Korennoi, Volodymyr; Zimroz, Radoslaw Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes Journal Article In: Sensors, vol. 20, no. 24, 2020. @article{Krot2020d,
title = {Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes},
author = {Pavlo Krot and Volodymyr Korennoi and Radoslaw Zimroz},
url = {https://www.mdpi.com/1424-8220/20/24/7284},
doi = {https://doi.org/10.3390/s20247284},
year = {2020},
date = {2020-12-18},
journal = {Sensors},
volume = {20},
number = {24},
abstract = {The problem solved in this research is the diagnosis of the radial clearances in bearing supports and the loosening of fastening bolts due to their plastic elongation (creep) or weak tightening using vibration signals. This is an important issue for the maintenance of the heavy-duty gearboxes of powerful mining machines and rolling mills working in non-stationary regimes. Based on a comprehensive overview of bolted joint diagnostic methods, a solution to this problem based on a developed nonlinear dynamical model of bearing supports is proposed. Diagnostic rules are developed by comparing the changes of natural frequency and its harmonics, the amplitudes and phases of shaft transient oscillations. Then, the vibration signals are measured on real gearboxes while the torque is increasing in the transmission during several series of industrial trials under changing bearings and bolts conditions. In parallel, dynamical torque is measured and its interrelation with vibration is determined. It is concluded that the radial clearances are the most influencing factors among the failure parameters in heavy-duty gearboxes of industrial machines working under impulsive and step-like loading. The developed diagnostics algorithm allows condition monitoring of bearings and fastening bolts, allowing one to undertake timely maintenance actions to prevent failures.},
keywords = {Diagnostics, Gearbox, MaMMa, SafeMe4Mine, Vibration},
pubstate = {published},
tppubtype = {article}
}
The problem solved in this research is the diagnosis of the radial clearances in bearing supports and the loosening of fastening bolts due to their plastic elongation (creep) or weak tightening using vibration signals. This is an important issue for the maintenance of the heavy-duty gearboxes of powerful mining machines and rolling mills working in non-stationary regimes. Based on a comprehensive overview of bolted joint diagnostic methods, a solution to this problem based on a developed nonlinear dynamical model of bearing supports is proposed. Diagnostic rules are developed by comparing the changes of natural frequency and its harmonics, the amplitudes and phases of shaft transient oscillations. Then, the vibration signals are measured on real gearboxes while the torque is increasing in the transmission during several series of industrial trials under changing bearings and bolts conditions. In parallel, dynamical torque is measured and its interrelation with vibration is determined. It is concluded that the radial clearances are the most influencing factors among the failure parameters in heavy-duty gearboxes of industrial machines working under impulsive and step-like loading. The developed diagnostics algorithm allows condition monitoring of bearings and fastening bolts, allowing one to undertake timely maintenance actions to prevent failures. |
30. | Tubis, Agnieszka; Werbinska-Wojciechowska, Sylwia; Goralczyk, Mateusz; Wroblewski, Adam; Zietek, Bartlomiej Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use Journal Article In: Sensors, vol. 20, no. 24, 2020. @article{Tubis2020b,
title = {Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use},
author = {Agnieszka Tubis and Sylwia Werbinska-Wojciechowska and Mateusz Goralczyk and Adam Wroblewski and Bartlomiej Zietek},
url = {https://www.mdpi.com/1424-8220/20/24/7210},
doi = {https://doi.org/10.3390/s20247210},
year = {2020},
date = {2020-12-16},
journal = {Sensors},
volume = {20},
number = {24},
abstract = {The rising automation level and development of the Industry 4.0 concept in the mining sector increase the risk of cyber-attacks. As a result, this article focuses on developing a risk analysis method that integrates Kaplan’s and Garrick’s approach and fuzzy theory. The proposed approach takes into account the level of automation of the operating mining processes. Moreover, it follows five main steps, including identifying the automation level in a selected mine, definition of cyber-attack targets, identification of cyber-attack techniques, definition of cyber-attack consequences, and risk ratio assessment. The proposed risk assessment procedure was performed according to three cyber-attack targets (databases, internal networks, machinery) and seven selected types of cyber-attack techniques. The fuzzy theory is implemented in risk parameter estimation for cyber-attack scenario occurrence in the mining industry. To illustrate the given method’s applicability, seven scenarios for three levels of mine automation are analyzed. The proposed method may be used to reveal the current cybersecurity status of the mine. Moreover, it will be a valuable guide for mines in which automation is planned in the near future.},
keywords = {Mining, Risk assessment, SafeMe4Mine},
pubstate = {published},
tppubtype = {article}
}
The rising automation level and development of the Industry 4.0 concept in the mining sector increase the risk of cyber-attacks. As a result, this article focuses on developing a risk analysis method that integrates Kaplan’s and Garrick’s approach and fuzzy theory. The proposed approach takes into account the level of automation of the operating mining processes. Moreover, it follows five main steps, including identifying the automation level in a selected mine, definition of cyber-attack targets, identification of cyber-attack techniques, definition of cyber-attack consequences, and risk ratio assessment. The proposed risk assessment procedure was performed according to three cyber-attack targets (databases, internal networks, machinery) and seven selected types of cyber-attack techniques. The fuzzy theory is implemented in risk parameter estimation for cyber-attack scenario occurrence in the mining industry. To illustrate the given method’s applicability, seven scenarios for three levels of mine automation are analyzed. The proposed method may be used to reveal the current cybersecurity status of the mine. Moreover, it will be a valuable guide for mines in which automation is planned in the near future. |
31. | Adach-Pawelus, Karolina; Gogolewska, Anna; Gorniak-Zimroz, Justyna; Herbert, Juan Herrera; Hidalgo, Arturo; Kielczawa, Barbara; Krupa-Kurzynowska, Joanna; Lampinen, Matti; Mamelkina, Maria A.; Paszkowska, Gabriela; Szyszka, Danuta; Tuunila, Ritva; Worsa-Kozak, Magdalena; Wozniak, Justyna Towards Sustainable Mining in the Didactic Process—MEITIM Project as an Opportunity to Increase the Attractiveness of Mining Courses (A Case Study of Poland) Journal Article In: Sustainability, vol. 12, no. 23, 2020. @article{Adach-Pawelus2020,
title = {Towards Sustainable Mining in the Didactic Process—MEITIM Project as an Opportunity to Increase the Attractiveness of Mining Courses (A Case Study of Poland) },
author = {Karolina Adach-Pawelus and Anna Gogolewska and Justyna Gorniak-Zimroz and Juan Herrera Herbert and Arturo Hidalgo and Barbara Kielczawa and Joanna Krupa-Kurzynowska and Matti Lampinen and Maria A. Mamelkina and Gabriela Paszkowska and Danuta Szyszka and Ritva Tuunila and Magdalena Worsa-Kozak and Justyna Wozniak},
url = {https://www.mdpi.com/2071-1050/12/23/10138},
doi = {10.3390/su122310138},
year = {2020},
date = {2020-12-04},
journal = {Sustainability},
volume = {12},
number = {23},
abstract = {Mining has been embedded in the public consciousness as a dirty, non-innovative, outdated and environmentally harmful industry. Proper education, especially the academic one, becomes crucial to successfully change this image. This article depicts the initial assumptions of the international project Master in Entrepreneurship, Innovation and Technology Integration in Mining (MEITIM), co-financed by EIT Raw Materials, that aims to diagnose the current state of Polish higher education in the field of mining at, among others, the Wroclaw University of Science and Technology (WUST), concerning the experience of the Technical University of Madrid (UPM) and Lappeenranta University of Technology (LUT). The MEITIM project allowed identifying the directions of necessary changes in the didactic process as an indispensable set of skills and knowledge for a future mining graduate. Such activities are dictated by many guidelines and arrangements, among others, at the level of the European Commission or key industry institutions such as the International Council on Mining and Metals. These are key competencies that require significant changes in university curricula supporting sustainable development goals in innovative mining. The authors show that there is a link between the condition of the mining industry in Poland, its reputation, and the number of people who want to study mining},
keywords = {Education, MEITIM, Mining},
pubstate = {published},
tppubtype = {article}
}
Mining has been embedded in the public consciousness as a dirty, non-innovative, outdated and environmentally harmful industry. Proper education, especially the academic one, becomes crucial to successfully change this image. This article depicts the initial assumptions of the international project Master in Entrepreneurship, Innovation and Technology Integration in Mining (MEITIM), co-financed by EIT Raw Materials, that aims to diagnose the current state of Polish higher education in the field of mining at, among others, the Wroclaw University of Science and Technology (WUST), concerning the experience of the Technical University of Madrid (UPM) and Lappeenranta University of Technology (LUT). The MEITIM project allowed identifying the directions of necessary changes in the didactic process as an indispensable set of skills and knowledge for a future mining graduate. Such activities are dictated by many guidelines and arrangements, among others, at the level of the European Commission or key industry institutions such as the International Council on Mining and Metals. These are key competencies that require significant changes in university curricula supporting sustainable development goals in innovative mining. The authors show that there is a link between the condition of the mining industry in Poland, its reputation, and the number of people who want to study mining |
32. | Chudy, Krzysztof; Worsa-Kozak, Magdalena; Wojcik, Agnieszka Groundwater Chemistry and Stratification in the Flooded Hard-Coal Mine Shaft “Nowy I” (Nowa Ruda Region, SW Poland) Journal Article In: Water, vol. 12, no. 11, pp. 3257, 2020. @article{groundwater2020chudy,
title = { Groundwater Chemistry and Stratification in the Flooded Hard-Coal Mine Shaft “Nowy I” (Nowa Ruda Region, SW Poland) },
author = {Krzysztof Chudy and Magdalena Worsa-Kozak and Agnieszka Wojcik},
url = {https://www.mdpi.com/2073-4441/12/11/3257},
doi = {https://doi.org/10.3390/w12113257},
year = {2020},
date = {2020-11-20},
journal = {Water},
volume = {12},
number = {11},
pages = {3257},
keywords = {Abandoned mines, Hydrogeology, Mine water},
pubstate = {published},
tppubtype = {article}
}
|
33. | Nowicki, Jakub; Hebda-Sobkowicz, Justyna; Zimroz, Radoslaw; Wylomanska, Agnieszka Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses Journal Article In: Sensors, vol. 20, no. 22, pp. 6444, 2020. @article{nowicki2020local,
title = {Local Defect Detection in Bearings in the Presence of Heavy-Tailed Noise and Spectral Overlapping of Informative and Non-Informative Impulses},
author = {Jakub Nowicki and Justyna Hebda-Sobkowicz and Radoslaw Zimroz and Agnieszka Wylomanska},
url = {https://www.mdpi.com/1424-8220/20/22/6444},
doi = {https://doi.org/10.3390/s20226444},
year = {2020},
date = {2020-11-11},
journal = {Sensors},
volume = {20},
number = {22},
pages = {6444},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {Diagnostics, OPMO, Selector, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
34. | Kruczek, Piotr; Zimroz, Radoslaw; Wylomanska, Agnieszka How to detect the cyclostationarity in heavy-tailed distributed signals Journal Article In: Signal Processing, vol. 172, pp. 107514, 2020. @article{kruczek2020detect,
title = {How to detect the cyclostationarity in heavy-tailed distributed signals},
author = {Piotr Kruczek and Radoslaw Zimroz and Agnieszka Wylomanska },
doi = {10.1016/j.sigpro.2020.107514},
year = {2020},
date = {2020-07-01},
journal = {Signal Processing},
volume = {172},
pages = {107514},
publisher = {Elsevier},
keywords = {Cyclostationarity, Dependence Measures, Heavy-tailed Distributions, OPMO, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
35. | Michalak, Anna; Wodecki, Jacek; Wylomanska, Agnieszka; Zimroz, Radoslaw Influence of Signal to Noise Ratio on the Effectiveness of Cointegration Analysis for Vibration Signal Inproceedings In: Workshop on Cyclostationary Systems and Their Applications, pp. 136–146, Springer 2020. @inproceedings{michalak2017influence,
title = {Influence of Signal to Noise Ratio on the Effectiveness of Cointegration Analysis for Vibration Signal},
author = {Anna Michalak and Jacek Wodecki and Agnieszka Wylomanska and Radoslaw Zimroz},
doi = {10.1007/978-3-030-22529-2_7},
year = {2020},
date = {2020-01-01},
booktitle = {Workshop on Cyclostationary Systems and Their Applications},
pages = {136--146},
organization = {Springer},
keywords = {Cointegration, Diagnostics, Monte Carlo, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
36. | Wodecki, Jacek; Michalak, Anna; Stefaniak, Pawel; Wylomanska, Agnieszka; Zimroz, Radoslaw Combination of Kolmogorov-Smirnov Statistic and Time-Frequency Representation for P-Wave Arrival Detection in Seismic Signal Inproceedings In: Workshop on Cyclostationary Systems and Their Applications, pp. 166–174, Springer 2020. @inproceedings{wodecki2017combination,
title = {Combination of Kolmogorov-Smirnov Statistic and Time-Frequency Representation for P-Wave Arrival Detection in Seismic Signal},
author = {Jacek Wodecki and Anna Michalak and Pawel Stefaniak and Agnieszka Wylomanska and Radoslaw Zimroz},
doi = {https://doi.org/10.1007/978-3-030-22529-2_9},
year = {2020},
date = {2020-01-01},
booktitle = {Workshop on Cyclostationary Systems and Their Applications},
pages = {166--174},
organization = {Springer},
keywords = {Environment, Kolmogorov-Smirnov Statistic, Seismic, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
37. | Krot, Pavlo; Sliwinski, Pawel; Zimroz, Radoslaw; Gomolla, Norbert The identification of operational cycles in the monitoring systems of underground vehicles Journal Article In: Measurement, vol. 151, pp. 107111, 2020. @article{KROT2020107111,
title = {The identification of operational cycles in the monitoring systems of underground vehicles},
author = {Pavlo Krot and Pawel Sliwinski and Radoslaw Zimroz and Norbert Gomolla},
doi = {10.1016/j.measurement.2019.107111},
year = {2020},
date = {2020-01-01},
journal = {Measurement},
volume = {151},
pages = {107111},
publisher = {Elsevier},
keywords = {Analytics, Dump Trucks, MaMMa},
pubstate = {published},
tppubtype = {article}
}
|
38. | Baiul, Kostiantyn; Khudyakov, Aleksander; Vashchenko, Sergii; Krot, Pavlo; Solodka, Nataliia The experimental study of compaction parameters and elastic after-effect of fine fraction raw materials Journal Article In: Mining Science, vol. 27, pp. 7–18, 2020. @article{baiulexperimental,
title = {The experimental study of compaction parameters and elastic after-effect of fine fraction raw materials},
author = {Kostiantyn Baiul and Aleksander Khudyakov and Sergii Vashchenko and Pavlo Krot and Nataliia Solodka},
url = {http://www.miningscience.pwr.edu.pl/THE-EXPERIMENTAL-STUDY-OF-COMPACTION-PARAMETERS-AND-ELASTIC-AFTER-EFFECT-OF-FINE,117765,0,2.html},
doi = {https://doi.org/10.37190/msc202701 },
year = {2020},
date = {2020-01-01},
journal = {Mining Science},
volume = {27},
pages = {7--18},
keywords = {Environment, Minerals, Mining, OPMO, Processing},
pubstate = {published},
tppubtype = {article}
}
|
39. | Hebda-Sobkowicz, Justyna; Zimroz, Radoslaw; Wylomanska, Agnieszka Selection of the Informative Frequency Band in a Bearing Fault Diagnosis in the Presence of Non-Gaussian Noise - Comparison of Recently Developed Methods Journal Article In: Applied Sciences, vol. 10, no. 8, pp. 2657, 2020. @article{HebdaSobkowicz2020,
title = {Selection of the Informative Frequency Band in a Bearing Fault Diagnosis in the Presence of Non-Gaussian Noise - Comparison of Recently Developed Methods},
author = {Justyna Hebda-Sobkowicz and Radoslaw Zimroz and Agnieszka Wylomanska},
url = { https://doi.org/10.3390/app10082657},
doi = {10.3390/app10082657},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {8},
pages = {2657},
publisher = {MDPI AG},
keywords = {Bearing, Diagnostics, OPMO, Selector, Time-Frequency Representation},
pubstate = {published},
tppubtype = {article}
}
|
40. | Wodecki, Jacek; Michalak, Anna; Zimroz, Radoslaw; Wylomanska, Agnieszka Separation of multiple local-damage-related components from vibration data using Nonnegative Matrix Factorization and multichannel data fusion Journal Article In: Mechanical Systems and Signal Processing, vol. 145, pp. 106954, 2020. @article{Wodecki2020,
title = {Separation of multiple local-damage-related components from vibration data using Nonnegative Matrix Factorization and multichannel data fusion},
author = {Jacek Wodecki and Anna Michalak and Radoslaw Zimroz and Agnieszka Wylomanska},
url = {https://doi.org/10.1016/j.ymssp.2020.106954},
doi = {10.1016/j.ymssp.2020.106954},
year = {2020},
date = {2020-01-01},
journal = {Mechanical Systems and Signal Processing},
volume = {145},
pages = {106954},
publisher = {Elsevier BV},
keywords = {Diagnostics, MaMMa, Nonnegative Matrix Factorization, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
41. | Hebda-Sobkowicz, Justyna; Zimroz, Radoslaw; Pitera, Marcin; Wylomanska, Agnieszka Informative frequency band selection in the presence of non-Gaussian noise - a novel approach based on the conditional variance statistic with application to bearing fault diagnosis Journal Article In: Mechanical Systems and Signal Processing, vol. 145, pp. 106971, 2020. @article{HebdaSobkowicz2020b,
title = {Informative frequency band selection in the presence of non-Gaussian noise - a novel approach based on the conditional variance statistic with application to bearing fault diagnosis},
author = {Justyna Hebda-Sobkowicz and Radoslaw Zimroz and Marcin Pitera and Agnieszka Wylomanska},
doi = {10.1016/j.ymssp.2020.106971},
year = {2020},
date = {2020-01-01},
journal = {Mechanical Systems and Signal Processing},
volume = {145},
pages = {106971},
publisher = {Elsevier BV},
keywords = {Diagnostics, OPMO, Selector, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
42. | Krot, Pavlo; Zimroz, Radoslaw; Michalak, Anna; Wodecki, Jacek; Ogonowski, Szymon; Drozda, Michal; Jach, Marek Development and Verification of the Diagnostic Model of the Sieving Screen Journal Article In: Shock and Vibration, vol. 2020, pp. 1–14, 2020. @article{Krot2020b,
title = {Development and Verification of the Diagnostic Model of the Sieving Screen},
author = {Pavlo Krot and Radoslaw Zimroz and Anna Michalak and Jacek Wodecki and Szymon Ogonowski and Michal Drozda and Marek Jach},
url = {https://doi.org/10.1155/2020/8015465},
doi = {10.1155/2020/8015465},
year = {2020},
date = {2020-01-01},
journal = {Shock and Vibration},
volume = {2020},
pages = {1--14},
publisher = {Hindawi Limited},
keywords = {Analytics, Mining, OPMO, Vibrating Screens, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
43. | Szrek, Jaroslaw; Wodecki, Jacek; Blazej, Ryszard; Zimroz, Radoslaw An Inspection Robot for Belt Conveyor Maintenance in Underground Mine—Infrared Thermography for Overheated Idlers Detection Journal Article In: Applied Sciences, vol. 10, no. 14, pp. 4984, 2020. @article{Szrek2020,
title = {An Inspection Robot for Belt Conveyor Maintenance in Underground Mine—Infrared Thermography for Overheated Idlers Detection},
author = {Jaroslaw Szrek and Jacek Wodecki and Ryszard Blazej and Radoslaw Zimroz},
url = {https://doi.org/10.3390/app10144984},
doi = {10.3390/app10144984},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {14},
pages = {4984},
publisher = {MDPI AG},
keywords = {AMICOS, Diagnostics, Mining, Temperature},
pubstate = {published},
tppubtype = {article}
}
|
44. | Tubis, Agnieszka; Werbinska-Wojciechowska, Sylwia; Wroblewski, Adam Risk Assessment Methods in Mining Industry—A Systematic Review Journal Article In: Applied Sciences, vol. 10, no. 15, pp. 5172, 2020. @article{Tubis2020,
title = {Risk Assessment Methods in Mining Industry—A Systematic Review},
author = {Agnieszka Tubis and Sylwia Werbinska-Wojciechowska and Adam Wroblewski},
url = {https://doi.org/10.3390/app10155172},
doi = {10.3390/app10155172},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {15},
pages = {5172},
publisher = {MDPI AG},
keywords = {Mining, Risk assessment, SafeMe4Mine},
pubstate = {published},
tppubtype = {article}
}
|
45. | Worsa-Kozak, Magdalena; Zimroz, Radoslaw; Michalak, Anna; Wolkersdorfer, Christian; Wylomanska, Agnieszka; Kowalczyk, Marek Groundwater Level Fluctuation Analysis in a Semi-Urban Area Using Statistical Methods and Data Mining Techniques - A Case Study in Wroclaw, Poland Journal Article In: Applied Sciences, vol. 10, no. 10, pp. 3553, 2020. @article{WorsaKozak2020,
title = {Groundwater Level Fluctuation Analysis in a Semi-Urban Area Using Statistical Methods and Data Mining Techniques - A Case Study in Wroclaw, Poland},
author = {Magdalena Worsa-Kozak and Radoslaw Zimroz and Anna Michalak and Christian Wolkersdorfer and Agnieszka Wylomanska and Marek Kowalczyk},
url = {https://doi.org/10.3390/app10103553},
doi = {10.3390/app10103553},
year = {2020},
date = {2020-01-01},
journal = {Applied Sciences},
volume = {10},
number = {10},
pages = {3553},
publisher = {MDPI AG},
keywords = {Analytics, Environment, Hydrogeology},
pubstate = {published},
tppubtype = {article}
}
|
46. | Serafin, Tomasz; Michalak, Anna; Bielak, Lukasz; Wylomanska, Agnieszka Averaged-Calibration-Length Prediction for Currency Exchange Rates by a Time-Dependent Vasicek Model Journal Article In: Theoretical Economics Letters, vol. 10, no. 03, pp. 579–599, 2020. @article{Serafin2020,
title = {Averaged-Calibration-Length Prediction for Currency Exchange Rates by a Time-Dependent Vasicek Model},
author = {Tomasz Serafin and Anna Michalak and Lukasz Bielak and Agnieszka Wylomanska},
url = {https://doi.org/10.4236/tel.2020.103037},
doi = {10.4236/tel.2020.103037},
year = {2020},
date = {2020-01-01},
journal = {Theoretical Economics Letters},
volume = {10},
number = {03},
pages = {579--599},
publisher = {Scientific Research Publishing, Inc.},
keywords = {Economy, Modeling, Ornstein-Uhlenbeck process},
pubstate = {published},
tppubtype = {article}
}
|
47. | Krot, Pavlo; Zimroz, Radoslaw Failure analysis and modernization of high-pressure hydraulic press for drilling tubes testing Journal Article In: Engineering Failure Analysis, vol. 117, pp. 104772, 2020. @article{Krot2020c,
title = {Failure analysis and modernization of high-pressure hydraulic press for drilling tubes testing},
author = {Pavlo Krot and Radoslaw Zimroz},
url = {https://doi.org/10.1016/j.engfailanal.2020.104772},
doi = {10.1016/j.engfailanal.2020.104772},
year = {2020},
date = {2020-01-01},
journal = {Engineering Failure Analysis},
volume = {117},
pages = {104772},
publisher = {Elsevier BV},
keywords = {Analytics, Drilling, SafeMe4Mine},
pubstate = {published},
tppubtype = {article}
}
|
48. | Grzesiek, Aleksandra; Zimroz, Radoslaw; Sliwinski, Pawel; Gomolla, Norbert; Wylomanska, Agnieszka Long term belt conveyor gearbox temperature data analysis – Statistical tests for anomaly detection Journal Article In: Measurement, vol. 165, pp. 108124, 2020. @article{Grzesiek2020,
title = {Long term belt conveyor gearbox temperature data analysis – Statistical tests for anomaly detection},
author = {Aleksandra Grzesiek and Radoslaw Zimroz and Pawel Sliwinski and Norbert Gomolla and Agnieszka Wylomanska},
url = {https://doi.org/10.1016/j.measurement.2020.108124},
doi = {10.1016/j.measurement.2020.108124},
year = {2020},
date = {2020-01-01},
journal = {Measurement},
volume = {165},
pages = {108124},
publisher = {Elsevier BV},
keywords = {Analytics, Diagnostics, Gearbox, MaMMa, Temperature},
pubstate = {published},
tppubtype = {article}
}
|
49. | Schmidt, Stephan; Zimroz, Radoslaw; Chaari, Fakher; Heyns, Stephan P; Haddar, Mohamed A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments Journal Article In: Sensors, vol. 20, no. 7, pp. 2115, 2020. @article{Schmidt2020,
title = {A Simple Condition Monitoring Method for Gearboxes Operating in Impulsive Environments},
author = {Stephan Schmidt and Radoslaw Zimroz and Fakher Chaari and Stephan P Heyns and Mohamed Haddar},
url = {https://doi.org/10.3390/s20072115},
doi = {10.3390/s20072115},
year = {2020},
date = {2020-01-01},
journal = {Sensors},
volume = {20},
number = {7},
pages = {2115},
publisher = {MDPI AG},
keywords = {Analytics, Diagnostics, OPMO, Vibration},
pubstate = {published},
tppubtype = {article}
}
|
50. | Kozlowski, Tomasz; Wodecki, Jacek; Zimroz, Radoslaw; Blazej, Ryszard; Hardygora, Monika A Diagnostics of Conveyor Belt Splices Journal Article In: vol. 10, no. 18, pp. 6259, 2020. @article{Kozlowski2020diagnostics,
title = {A Diagnostics of Conveyor Belt Splices},
author = {Tomasz Kozlowski and Jacek Wodecki and Radoslaw Zimroz and Ryszard Blazej and Monika Hardygora},
url = {https://www.mdpi.com/2076-3417/10/18/6259},
doi = {https://doi.org/10.3390/app10186259},
year = {2020},
date = {2020-01-01},
volume = {10},
number = {18},
pages = {6259},
keywords = {Conveyor Belt, Diagnostics, Genetic Algorithm},
pubstate = {published},
tppubtype = {article}
}
|