期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 23, 期 4, 页码 1076-1097出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2008.06.012
关键词
Transients; Continuous wavelet transform; K-S test; Gear; Bearing; Fault diagnosis
资金
- College Natural Science Foundation of Jiangsu Province of China [08KJB460005]
This paper presents a transient detection method that combines continuous wavelet transform (CWT) and Kolmogorov-Smirnov (K-S) test for machine fault diagnosis. According to this method, the CWT represents the signal in the time-scale plane, and the proposed step-by-step detection based on K-S test identifies the transient coefficients. Simulation study shows that the transient feature can be effectively identified in the time-scale plane with the K-S test. Moreover, the transients can be further transformed back into the time domain through the inverse CWT. The proposed method is then utilized in the gearbox vibration transient detection for fault diagnosis, and the results show that the transient features both expressed in the time-scale plane and reconstructed in the time domain characterize the gearbox condition and fault severity development more clearly than the original time domain signal. The proposed method is also applied to the vibration signals of cone bearings with the localized fault in the inner race, outer race and the rolling elements, respectively. The detected transients indicate not only the existence of the bearing faults, but also the information about the fault severity to a certain degree. (C) 2008 Elsevier Ltd. All rights reserved.
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