FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM

›› 2000, Vol. 36 ›› Issue (12): 95-100.

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FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM

Lin Jing;Qu Langsheng

State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Science Xi'an Jiaotong University

Published:2000-12-15

Abstract

Abstract: It is pointed out that continuous wavelet transform (CWT) has powerful ability for weak signal detection which help itself to be used for fault diagnosis. The method for parameter discretization and optimization of CWT is established. The concept of wavelet entropy is introduced and it is used as a rule for parameter optimization. In the end, CWT is used for fault diagnosis of rolling bearing and gear-box. Very good results are obtained using this method.

Key words: Fault diagnosis, Gear, Rolling bearing, Wavelet

CLC Number:

TH133.33 TH132.41

Lin Jing;Qu Langsheng. FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM[J]. , 2000, 36(12): 95-100.

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FEATURE DETECTION AND FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM

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