2020
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| 1. | 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. |
| 2. | 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}
}
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2019
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| 3. | Kruczek, Piotr; Wodecki, Jacek; Wylomanska, Agnieszka; Zimroz, Radoslaw; Gryllias, Konstantinos Multi-fault diagnosis based on bi-frequency cyclostationary maps clustering Proceedings Article In: pp. 981–990, KU Leuven, 2019. @inproceedings{kruczek2019multi,
title = {Multi-fault diagnosis based on bi-frequency cyclostationary maps clustering},
author = {Piotr Kruczek and Jacek Wodecki and Agnieszka Wylomanska and Radoslaw Zimroz and Konstantinos Gryllias},
url = {https://www.researchgate.net/publication/327779575_Multi-fault_diagnosis_based_on_bi-frequency_cyclostationary_maps_clustering},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of International Conference on Noise and Vibration Engineering (ISMA2018)},
pages = {981--990},
publisher = {KU Leuven},
keywords = {Clustering, Cyclic Spectral Coherence, Cyclostationarity, Diagnostics, Gearbox, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
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| 4. | Michalak, Anna; Wylomanska, Agnieszka; Wodecki, Jacek; Zimroz, Radoslaw Integration approach for local damage detection of vibration signal from gearbox based on KPSS test Proceedings Article In: pp. 330–339, Springer International Publishing, 2019. @inproceedings{michalak2019integration,
title = {Integration approach for local damage detection of vibration signal from gearbox based on KPSS test},
author = {Anna Michalak and Agnieszka Wylomanska and Jacek Wodecki and Radoslaw Zimroz},
doi = {10.1007/978-3-030-11220-2_34},
year = {2019},
date = {2019-01-01},
journal = {Advances in Condition Monitoring of Machinery in Non-Stationary Operations},
volume = {15},
pages = {330--339},
publisher = {Springer International Publishing},
keywords = {Diagnostics, Gearbox, Integration, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 5. | Michalak, Anna; Wodecki, Jacek; Wylomanska, Agnieszka; Zimroz, Radoslaw Application of cointegration to vibration signal for local damage detection in gearboxes Journal Article In: Applied Acoustics, vol. 144, pp. 4–10, 2019, ISSN: 0003-682X. @article{Michalak2017applicationb,
title = {Application of cointegration to vibration signal for local damage detection in gearboxes},
author = {Anna Michalak and Jacek Wodecki and Agnieszka Wylomanska and Radoslaw Zimroz},
doi = {10.1016/j.apacoust.2017.08.024},
issn = {0003-682X},
year = {2019},
date = {2019-01-01},
journal = {Applied Acoustics},
volume = {144},
pages = {4--10},
publisher = {Elsevier},
keywords = {Cointegration, Diagnostics, DISIRE, Gearbox, Vibration},
pubstate = {published},
tppubtype = {article}
}
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2018
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| 6. | Wodecki, Jacek; Hebda-Sobkowicz, Justyna; Wylomanska, Agnieszka; Zimroz, Radoslaw; Gryllias, Konstantinos Application of principal component analysis of time-frequency representation for gearbox fault detection Proceedings Article In: pp. 82–25, JVE International Ltd., 2018. @inproceedings{wodecki2018application,
title = {Application of principal component analysis of time-frequency representation for gearbox fault detection},
author = {Jacek Wodecki and Justyna Hebda-Sobkowicz and Agnieszka Wylomanska and Radoslaw Zimroz and Konstantinos Gryllias},
doi = {10.21595/vp.2018.20209},
year = {2018},
date = {2018-01-01},
journal = {Vibroengineering Procedia},
volume = {19},
pages = {82--25},
publisher = {JVE International Ltd.},
keywords = {Diagnostics, Gearbox, Principal Component Analysis, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 7. | Wodecki, Jacek; Stefaniak, Pawel; Polak, Marta; Zimroz, Radoslaw Unsupervised Anomaly Detection for Conveyor Temperature SCADA Data Proceedings Article In: pp. 361–369, Springer, 2018. @inproceedings{wodecki2018unsupervised,
title = {Unsupervised Anomaly Detection for Conveyor Temperature SCADA Data},
author = {Jacek Wodecki and Pawel Stefaniak and Marta Polak and Radoslaw Zimroz},
doi = {10.1007/978-3-319-61927-9_34},
year = {2018},
date = {2018-01-01},
journal = {Advances in Condition Monitoring of Machinery in Non-Stationary Operations},
volume = {9},
pages = {361--369},
publisher = {Springer},
keywords = {Clustering, Diagnostics, DISIRE, Gearbox, Temperature},
pubstate = {published},
tppubtype = {inproceedings}
}
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2017
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| 8. | Wodecki, Jacek; Zdunek, Rafal; Wylomanska, Agnieszka; Zimroz, Radoslaw Nonnegative factorization of spectrogram for local damage detection of belt conveyor gearboxes Proceedings Article In: pp. 4714–4718, 2017, ISSN: 2405-8963. @inproceedings{wodecki2017nonnegative,
title = {Nonnegative factorization of spectrogram for local damage detection of belt conveyor gearboxes},
author = {Jacek Wodecki and Rafal Zdunek and Agnieszka Wylomanska and Radoslaw Zimroz},
doi = {10.1016/j.ifacol.2017.08.859},
issn = {2405-8963},
year = {2017},
date = {2017-01-01},
journal = {IFAC-PapersOnLine},
volume = {50},
number = {1},
pages = {4714--4718},
keywords = {Diagnostics, DISIRE, Gearbox, Nonnegative Matrix Factorization, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 9. | Wodecki, Jacek; Stefaniak, Pawel; Sawicki, Mateusz; Zimroz, Radoslaw Application of Independent Component Analysis in Temperature Data Analysis for Gearbox Fault Detection Proceedings Article In: pp. 187–198, Springer, 2017, ISBN: 978-3-319-51444-4. @inproceedings{wodecki2017application,
title = {Application of Independent Component Analysis in Temperature Data Analysis for Gearbox Fault Detection},
author = {Jacek Wodecki and Pawel Stefaniak and Mateusz Sawicki and Radoslaw Zimroz},
doi = {10.1007/978-3-319-51445-1_11},
isbn = {978-3-319-51444-4},
year = {2017},
date = {2017-01-01},
journal = {Cyclostationarity: Theory and Methods III},
pages = {187--198},
publisher = {Springer},
keywords = {Diagnostics, DISIRE, Gearbox, Independent Component Analysis, Temperature},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 10. | Stefaniak, Pawel; Wodecki, Michal; Michalak, Anna Association rules discovery from diagnostic data application to gearboxes used in mining industry Proceedings Article In: pp. 103-108, 2017. @inproceedings{Michalak2017ass,
title = {Association rules discovery from diagnostic data application to gearboxes used in mining industry},
author = {Pawel Stefaniak and Michal Wodecki and Anna Michalak},
doi = {10.21595/vp.2017.19082},
year = {2017},
date = {2017-01-01},
journal = {Vibroengineering Procedia},
volume = {13},
pages = {103-108},
keywords = {Analytics, Gearbox, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 11. | Wodecki, Jacek; Stefaniak, Pawel; Michalak, Anna; Wylomanska, Agnieszka Automatic calculation of thresholds for load dependent condition indicators by modelling of probability distribution functions--maintenance of gearboxes used in mining conveying system Proceedings Article In: pp. 67–72, JVE International Ltd., 2017. @inproceedings{wodecki2017automaticb,
title = {Automatic calculation of thresholds for load dependent condition indicators by modelling of probability distribution functions--maintenance of gearboxes used in mining conveying system},
author = {Jacek Wodecki and Pawel Stefaniak and Anna Michalak and Agnieszka Wylomanska},
doi = {10.21595/vp.2017.19036},
year = {2017},
date = {2017-01-01},
journal = {Vibroengineering Procedia},
volume = {13},
pages = {67--72},
publisher = {JVE International Ltd.},
keywords = {Analytics, DISIRE, Gearbox, Modeling, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
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| 12. | Wodecki, Jacek; Stefaniak, Pawel; Obuchowski, Jakub; Wylomanska, Agnieszka; Zimroz, Radoslaw Combination of principal component analysis and time-frequency representations of multichannel vibration data for gearbox fault detection. Journal Article In: Journal of Vibroengineering, vol. 18, no. 4, pp. 2167–2175, 2016. @article{wodecki2016combination,
title = {Combination of principal component analysis and time-frequency representations of multichannel vibration data for gearbox fault detection.},
author = {Jacek Wodecki and Pawel Stefaniak and Jakub Obuchowski and Agnieszka Wylomanska and Radoslaw Zimroz},
doi = {10.21595/jve.2016.17114},
year = {2016},
date = {2016-01-01},
journal = {Journal of Vibroengineering},
volume = {18},
number = {4},
pages = {2167--2175},
publisher = {JVE International Ltd.},
keywords = {Diagnostics, Gearbox, Principal Component Analysis, Vibration},
pubstate = {published},
tppubtype = {article}
}
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2015
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| 13. | Wodecki, Jacek; Stefaniak, Pawel; Obuchowski, Jakub; Wylomanska, Agnieszka; Zimroz, Radoslaw Combination of ICA and time-frequency representations of multichannel vibration data for gearbox fault detection Proceedings Article In: pp. 133–138, JVE International Ltd., 2015. @inproceedings{wodecki2015combination,
title = {Combination of ICA and time-frequency representations of multichannel vibration data for gearbox fault detection},
author = {Jacek Wodecki and Pawel Stefaniak and Jakub Obuchowski and Agnieszka Wylomanska and Radoslaw Zimroz},
year = {2015},
date = {2015-01-01},
journal = {Vibroengineering PROCEDIA},
volume = {6},
pages = {133--138},
publisher = {JVE International Ltd.},
keywords = {Diagnostics, Gearbox, Independent Component Analysis, Time-Frequency Representation, Vibration},
pubstate = {published},
tppubtype = {inproceedings}
}
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