Fault feature extraction of gearbox by using overcomplete rational dilation discrete wavelet transform on signals measured from vibration sensors

Mechanical Systems and Signal Processing

Volumn 33, Issue , 2012, Pages 275-298

  Chen, Binqiang ^a   Zhang, Zhousuo ^a   Sun, Chuang ^a   Li, Bing ^a   Zi, Yanyang ^a   He, Zhengjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Amplitude frequency modulation; Fault diagnosis; Gearbox; Overcomplete rational dilation discrete wavelet transform; Periodical impulses; Signal denoising

Indexed keywords

CATASTROPHIC ACCIDENTS; COEFFICIENT SHRINKAGE; DYADIC WAVELET TRANSFORM; EMPIRICAL MODE DECOMPOSITION METHOD; ENGINEERING APPLICATIONS; FAULT FEATURE; FEATURE EXTRACTION TECHNIQUES; GEARBOX; GEARBOX VIBRATION SIGNAL; HILBERT TRANSFORM; INCIPIENT FAULTS; MATCHING ALGORITHM; MECHANICAL FAULTS; NONSTATIONARY; OVER-COMPLETE; PERIODICAL IMPULSES; POSTPROCESSING METHODS; PRE-PROCESSING; SHIFT-INVARIANCE; SIGNAL PROCESSING TECHNIQUE; SUBBAND SELECTION; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY SPECTRUM; TRANSIENT CHARACTERISTIC; TRANSIENT VIBRATIONS; VERSATILE TOOLS; VIBRATION SENSORS; VIBRATION SIGNAL;

ALGORITHMS; FAILURE ANALYSIS; FEATURE EXTRACTION; SIGNAL DENOISING;

DISCRETE WAVELET TRANSFORMS;

EID: 84865646191     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.07.007     Document Type: Article

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