Research

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}