Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement

Mechanical Systems and Signal Processing

Volumn 24, Issue 5, 2010, Pages 1458-1472

  Su, Wensheng ^a   Wang, Fengtao ^a   Zhu, Hong ^a   Zhang, Zhixin ^a   Guo, Zhenggang ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Autocorrelation enhancement; Fault diagnosis; Genetic algorithm; Morlet wavelet; Rolling element bearing

Indexed keywords

BEARING CHARACTERISTIC; BEARING FAILURES; BEARING FAULT; ENHANCEMENT ALGORITHMS; FAULT DIAGNOSIS; FILTERED SIGNALS; FREQUENCY DOMAINS; HYBRID METHOD; IN-BAND NOISE; LOCALIZED FAULT; MECHANICAL SYSTEMS; MORLET WAVELET; MORLET WAVELET FILTER; ROLLING ELEMENT BEARING; SPECTRUM LINE; STRUCTURAL VIBRATIONS; TIME DOMAIN; VIBRATION SIGNAL;

AUTOCORRELATION; BANDPASS FILTERS; BEARINGS (STRUCTURAL); FAILURE ANALYSIS; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; OPTIMIZATION; PLASMA DIAGNOSTICS; QUALITY ASSURANCE; ROLLING; SIGNAL PROCESSING; STRUCTURAL DYNAMICS; TIME DOMAIN ANALYSIS; WAVELET TRANSFORMS;

BEARINGS (MACHINE PARTS);

EID: 77953139252     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2009.11.011     Document Type: Article

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