Application of time-frequency distributions in diagnostic signal processing problems: a case study
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Silesian University of Technology
Andrzej Katunin   

Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Polska
Submission date: 2016-04-14
Final revision date: 2016-05-29
Acceptance date: 2016-05-31
Publication date: 2016-06-04
Diagnostyka 2016;17(2):95–103
In this paper, the author analyzed an applicability of selected types of time-frequency distributions that belong to Cohen’s class and their reassignments for signals similar to those obtained during machinery diagnostics. At the first step of performed studies a synthetic multicomponent signal that contains both stationary and non-stationary components was analyzed using algorithms based on various time-frequency distributions. This allows for evaluating effectiveness of identification of particular components by applied time-frequency distributions and selecting a group of the most effective algorithms. At the second step, the selected time-frequency distributions were applied for analysis of signals acquired during diagnosis of rolling bearings in order to verify the effectiveness of identification of components responsible for a priori known faults occurred in bearings.