Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

Mechanical Systems and Signal Processing

Volumn 24, Issue 1, 2010, Pages 119-137

  Wang, Yanxue ^a   He, Zhengjia ^a   Zi, Yanyang ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Compound faults; Dual tree complex wavelet transform; Feature extraction; Health monitoring; Rotating machinery; Signal denoising

Indexed keywords

COMPOUND FAULTS; DE-NOISING; DE-NOISING ALGORITHM; DENOISING METHODS; DUAL-TREE; DUAL-TREE COMPLEX WAVELET TRANSFORM; EFFICIENT ALGORITHM; EMPIRICAL MODE DECOMPOSITION; HEALTH MONITORING; INDUSTRIAL EQUIPMENT; KURTOGRAM; MACHINE FAULTS; MEASURED SIGNALS; MULTIPLE FAULTS; MULTIPLE FEATURES; NUMERICAL SIMULATION; PRACTICAL IMPORTANCE; REMOVE NOISE; ROLLING ELEMENT BEARING; SECOND GENERATION WAVELET; SHIFT INVARIANCE; SIGNAL DENOISING; SPECTRAL ALIASING; VERSATILE TOOLS; VIBRATION SIGNAL; WAVELET BASIS FUNCTIONS;

ALGORITHMS; COMPUTER SIMULATION; FEATURE EXTRACTION; PARTIAL DISCHARGES; RELIABILITY; ROTATING MACHINERY; ROTATION; SHRINKAGE; SIGNAL PROCESSING; STRUCTURES (BUILT OBJECTS); WAVELET DECOMPOSITION;

SIGNAL DETECTION;

EID: 70349272168     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2009.06.015     Document Type: Article

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