Journal
JOURNAL OF SOUND AND VIBRATION
Volume 331, Issue 2, Pages 470-486Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2011.08.029
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Funding
- Natural Science and Engineering Research Council of Canada
- Ontario Centers of Excellence
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This paper proposes a multi-fault detection method based on the adaptive spectral kurtosis (ASK) analysis of the vibration signal from single sensor. A theoretical model of multiple bearing faults is established in this paper. Compared with the kurtogram and protrugram techniques, the proposed method can more effectively extract signatures of multiple bearing faults even in the presence of strong background noise. The performance of the proposed method in fault detection of the rolling element bearings is validated using simulation data and experimental signals from a bearing with multiple faults and two faulty bearings. (C) 2011 Elsevier Ltd. All rights reserved.
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