DocumentCode :
3429931
Title :
Adaptive resonant demodulation for early fault diagnosis of ball bearing
Author :
Qin Tian ; Chenggang Hou ; Sheng Li
Author_Institution :
Xi´an Jiaotong Univ., Xi´an, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
34
Lastpage :
38
Abstract :
Ball bearing is one of the most easily damaged parts of rotating machinery. Envelope demodulation technique is one of the most effective methods for ball bearing early fault diagnosis. However, in the process of using the resonance demodulation technique, it is difficult to determine the resonant band which contains side band of bearing components failure characteristics. In order to resolve the issue, this paper proposes a method of automatic selection of band-pass filter enter frequency, which is based on envelope spectral kurtosis. Experimental result shows that the proposed method can be used to indicate the best band to demodulate for envelope analysis and achieves adaptive fault diagnosis of ball bearing.
Keywords :
ball bearings; band-pass filters; demodulation; fault diagnosis; mechanical engineering computing; adaptive resonant demodulation; ball bearing; band-pass filter; bearing component failure characteristics; early fault diagnosis; envelope demodulation technique; rotating machinery; Adaptive algorithms; Ball bearings; Band-pass filters; Demodulation; Fault diagnosis; Resonant frequency; Vibrations; Ball bearings; adaptive algorithm; demodulation; fault diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625292
Filename :
6625292
Link To Document :
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