Research

@article{wodecki2023condition,

title = {Condition Monitoring of Horizontal Sieving Screens - A Case Study of Inertial Vibrator Bearing Failure in Calcium Carbonate Production Plant},

author = {Jacek Wodecki and Pavlo Krot and Adam Wroblewski and Krzysztof Chudy and Radoslaw Zimroz},

url = {https://www.mdpi.com/1996-1944/16/4/1533},

doi = {10.3390/ma16041533},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Materials},

volume = {16},

number = {4},

pages = {1533},

publisher = {MDPI},

keywords = {condition monitoring, local damage detection, sieving screen, Vibrating Screens, Vibration, vibration data, vibration signal},

pubstate = {published},

tppubtype = {article}

}

@article{GABOR2023110430,

title = {Non-negative tensor factorization for vibration-based local damage detection},

author = {Mateusz Gabor and Rafal Zdunek and Radoslaw Zimroz and Jacek Wodecki and Agnieszka Wylomanska},

doi = {https://doi.org/10.1016/j.ymssp.2023.110430},

issn = {0888-3270},

year  = {2023},

date = {2023-01-01},

journal = {Mechanical Systems and Signal Processing},

volume = {198},

pages = {110430},

keywords = {bearings, fault detection, Non-negative matrix factorization, Non-negative tensor factorization, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{app12136766,

title = {Application of Machine Learning Tools for Long-Term Diagnostic Feature Data Segmentation},

author = {Forough Moosavi and Hamid Shiri and Jacek Wodecki and Agnieszka Wyłomańska and Radoslaw Zimroz},

url = {https://www.mdpi.com/2076-3417/12/13/6766},

doi = {10.3390/app12136766},

issn = {2076-3417},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Applied Sciences},

volume = {12},

number = {13},

keywords = {condition monitoring, Heavy-tailed Distributions, Machine Learning, Modeling, MOIRA, Predicon, statistical analysis, Vibration},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@article{wodecki2019combination,

title = {Combination of Principal Component Analysis and Time-Frequency Representation for P-Wave Arrival Detection},

author = {Jacek Wodecki and Justyna Hebda-Sobkowicz and Adam Mirek and Radoslaw Zimroz and Agnieszka Wylomanska},

doi = {10.1155/2019/5961073},

year  = {2019},

date = {2019-09-22},

journal = {Shock and Vibration},

volume = {2019},

pages = {7},

publisher = {Hindawi},

keywords = {Analytics, Principal Component Analysis, Seismic, Time-Frequency Representation, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{wodecki2019novel,

title = {Novel method of informative frequency band selection for vibration signal using Nonnegative Matrix Factorization of spectrogram matrix},

author = {Jacek Wodecki and Piotr Kruczek and Agnieszka Wylomanska and Anna Bartkowiak and Radoslaw Zimroz},

doi = {10.1016/j.ymssp.2019.05.020},

year  = {2019},

date = {2019-01-01},

journal = {Mechanical Systems and Signal Processing},

volume = {130},

pages = {585--596},

publisher = {Elsevier},

keywords = {Diagnostics, Nonnegative Matrix Factorization, Selector, Time-Frequency Representation, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{wodecki2019impulsive,

title = {Impulsive source separation using combination of Nonnegative Matrix Factorization of bi-frequency map, spatial denoising and Monte Carlo simulation},

author = {Jacek Wodecki and Anna Michalak and Radoslaw Zimroz and Tomasz Barszcz and Agnieszka Wylomanska},

doi = {10.1016/j.ymssp.2019.02.052},

year  = {2019},

date = {2019-01-01},

journal = {Mechanical Systems and Signal Processing},

volume = {127},

pages = {89--101},

publisher = {Elsevier},

keywords = {Compressor, Cyclic Spectral Coherence, Diagnostics, Monte Carlo, Nonnegative Matrix Factorization, Spatial denoising, Vibration},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{wodecki2018optimal,

title = {Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings},

author = {Jacek Wodecki and Anna Michalak and Radoslaw Zimroz},

doi = {10.1016/j.ymssp.2017.09.008},

year  = {2018},

date = {2018-01-01},

journal = {Mechanical Systems and Signal Processing},

volume = {102},

pages = {102--116},

publisher = {Elsevier},

keywords = {Bearing, Diagnostics, DISIRE, Progressive Genetic Algorithm, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{wodecki2017local,

title = {Local fault detection of rolling element bearing components by spectrogram clustering with semi-binary NMF},

author = {Jacek Wodecki and Rafal Zdunek and Agnieszka Wylomanska and Radoslaw Zimroz},

url = {https://www.researchgate.net/publication/315582776_Local_fault_detection_of_rolling_element_bearing_components_by_spectrogram_clustering_with_Semi-Binary_NMF},

issn = {1641-6414},

year  = {2017},

date = {2017-01-01},

journal = {Diagnostyka},

volume = {18},

number = {1},

pages = {3--8},

keywords = {Bearing, Diagnostics, Nonnegative Matrix Factorization, Time-Frequency Representation, Vibration},

pubstate = {published},

tppubtype = {article}

}

@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}

}