Research

@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}

}

@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}

}

@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{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}

}

@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{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}

}

@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}

}

@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}

}

@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{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}

}

@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}

}

@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}

}

@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}

}

@article{gkasior2020identification,

title = {Identification, Decomposition and Segmentation of Impulsive Vibration Signals with Deterministic Components—A Sieving Screen Case Study},

author = {Karolina Gasior and Hanna Urbanska and Aleksandra Grzesiek and Radoslaw Zimroz and Agnieszka Wylomanska},

url = { https://doi.org/10.3390/s20195648},

doi = {10.3390/s20195648},

year  = {2020},

date = {2020-01-01},

journal = {Sensors},

volume = {20},

number = {19},

pages = {5648},

publisher = {Multidisciplinary Digital Publishing Institute},

keywords = {Mining, OPMO, Vibration},

pubstate = {published},

tppubtype = {article}

}

@article{krot2019methods,

title = {Methods of Springs Failures Diagnostics in Ore Processing Vibrating Screens},

author = {Pavlo Krot and Radoslaw Zimroz},

doi = {10.1088/1755-1315/362/1/012147},

year  = {2019},

date = {2019-11-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {362},

pages = {012147},

publisher = {IOP Publishing},

keywords = {Diagnostics, OPMO, Vibrating Screens},

pubstate = {published},

tppubtype = {article}

}