Application of novel sensors and advanced signal processing techniques for bearing fault detection

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ConferenceCANSMART 2007: 10th International Workshop on Smart Materials and Structures, 10-11 October, 2007, Montreal, Canada
Subjectbearing; health monitoring; fault detection; frequency domain; wavelet analysis
AbstractIn this paper, the use of two novel sensors, namely, an air-coupled ultrasound transducer and a piezoelectric ultrasonic transducer were investigated as diagnostic tools for detection of bearing faults. A series of experiments were carried out on a test rig using test bearings with different sizes of localized defects to simulate evolving cracks. The acoustic data from these sensors were analyzed using frequency domain signal processing techniques as well as advanced time-frequency domain technique that uses wavelet transform. The damage detection capability of the novel sensors varied depending on the defect size and location as well as the applied signal analysis technique. The fault detection performance of these novel sensors were compared to data obtained from an accelerometer, which is the traditionally used sensor for health monitoring. The effectiveness of advanced time-frequency domain signal processing technique based on wavelet transform was also compared with the traditional frequency domain analyses.
AffiliationNRC Institute for Aerospace Research; National Research Council Canada
Peer reviewedYes
NRC numberSMPL-2007-0141
NPARC number8926982
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Record identifier7cdcea25-3a58-4692-b2df-c7f834a1aa05
Record created2009-04-23
Record modified2016-06-17
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