Energy-based feature extraction for defect diagnosis in rotary machines

IEEE Transactions on Instrumentation and Measurement

Volumn 58, Issue 9, 2009, Pages 3130-3139

  Yan, Ruqiang ^a   Gao, Robert X ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Continuous wavelet transform (CWT); Defect diagnosis; Feature extraction; Noise reduction; Signal enveloping

Indexed keywords

BEARING DEFECT; CONTINUOUS WAVELET TRANSFORM; CONTINUOUS WAVELET TRANSFORM (CWT); DEFECT DIAGNOSIS; ENERGY CONTENT; EXPERIMENTAL STUDIES; INDUCED SIGNAL; NOISE REDUCTION; ROLLING BEARINGS; ROTARY MACHINE; SIGNAL ENVELOPING; SIGNAL FEATURES; SPECTRAL ANALYSIS; STRUCTURAL DEFECT; TRADITIONAL TECHNIQUES; VIBRATION SIGNAL; WAVELET COEFFICIENTS;

ACOUSTIC NOISE MEASUREMENT; BALL BEARINGS; BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); DEFECTS; ROTATING MACHINERY; SHAFTS (MACHINE COMPONENTS); SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; WAVELET DECOMPOSITION;

FEATURE EXTRACTION;

EID: 69249235484     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2016886     Document Type: Article

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