J
Jacek Wodecki
Researcher at Wrocław University of Technology
Publications - 67
Citations - 612
Jacek Wodecki is an academic researcher from Wrocław University of Technology. The author has contributed to research in topics: Signal & Computer science. The author has an hindex of 11, co-authored 48 publications receiving 340 citations. Previous affiliations of Jacek Wodecki include Katholieke Universiteit Leuven.
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An Inspection Robot for Belt Conveyor Maintenance in Underground Mine—Infrared Thermography for Overheated Idlers Detection
TL;DR: A prototype of an inspection robot based on a UGV platform that could support maintenance staff during the inspection of belt conveyors and can be classified as a mobile monitoring system for spatially distributed underground infrastructure.
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Optimal filter design with progressive genetic algorithm for local damage detection in rolling bearings
TL;DR: A novel approach to dedicated optimal filter design using progressive genetic algorithm is proposed and diagnostic decision making feature has been proposed for final result determinance.
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Combination of principal component analysis and time-frequency representations of multichannel vibration data for gearbox fault detection
TL;DR: In this article, a multichannel vibration data processing method for local damage detection in gearboxes is presented. The method is a combination of time-frequency representation and principal component analysis (PCA) applied not to the raw time series but to each slice (along the time) from its spectrogram.
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Novel method of informative frequency band selection for vibration signal using Nonnegative Matrix Factorization of spectrogram matrix
TL;DR: A novel method of informative frequency band selection is proposed that utilizes the approach of Non-negative Matrix Factorization applied to time-frequency signal representation to filter particular components out of the original signal.
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Technical condition change detection using Anderson–Darling statistic approach for LHD machines – engine overheating problem
TL;DR: Analysis of obtained two-dimensional data structure allows to find points of change of technical condition of the machine and could be considered as training for diagnostic system that could be used for machine monitoring.