Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox

Mechanical Systems and Signal Processing

Volumn 41, Issue 1-2, 2013, Pages 34-53

  Cai, Gaigai ^a   Chen, Xuefeng ^a   He, Zhengjia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Gearbox fault diagnosis; Lagrangian shrinkage algorithm; Morphological component analysis; Q factor wavelet transform; Sparsity enabled signal decomposition; Split augmented; Tunable

Indexed keywords

CONSTRAINED OPTIMIZATION; EXTRACTION; FACTOR ANALYSIS; FAILURE ANALYSIS; FAULT DETECTION; FEATURE EXTRACTION; GEARS; LAGRANGE MULTIPLIERS; Q FACTOR MEASUREMENT; SHRINKAGE; SIGNAL DISTORTION; VIBRATION ANALYSIS; WAVELET DECOMPOSITION;

LAGRANGIAN; MORPHOLOGICAL COMPONENT ANALYSIS; Q-FACTORS; SIGNAL DECOMPOSITION; SPLIT AUGMENTED; TUNABLE;

SIGNAL PROCESSING;

EID: 84885572174     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.06.035     Document Type: Article

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