| Author | Search for: Wickramasinghe, V.1; Search for: Rezaei, A.1; Search for: Dadouche, A.1; Search for: Dmochowski, W.1; Search for: Nitzsche, F.2 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Aerospace Research
- Carleton University
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| Format | Text, Article |
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| Conference | CANSMART 2007: 10th International Workshop on Smart Materials and Structures, 10-11 October, 2007, Montreal, Canada |
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| Subject | bearing; health monitoring; fault detection; frequency domain; wavelet analysis |
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| Abstract | In 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. |
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| Peer reviewed | Yes |
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| NRC number | SMPL-2007-0141 |
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| NPARC number | 8926982 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 7cdcea25-3a58-4692-b2df-c7f834a1aa05 |
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| Record created | 2009-04-23 |
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| Record modified | 2020-04-16 |
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