Rolling element bearing fault diagnosis using wavelet transform

Neurocomputing

Volumn 74, Issue 10, 2011, Pages 1638-1645

  Kankar, P K ^a   Sharma, Satish C ^a   Harsha, S P ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Learning vector quantization (LVQ); Self organizing maps (SOM); Shannon Entropy; Support vector machine (SVM); Wavelets

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; COMPLEX MORLET WAVELET; DIAGNOSIS PERFORMANCE; FAULT CLASSIFICATION; FAULT DIAGNOSIS; LEARNING VECTOR QUANTIZATION; LOCALIZED DEFECTS; RAW SIGNALS; ROLLING ELEMENT BEARING; SELF-ORGANIZING MAPS (SOM); SHANNON ENTROPY; STATISTICAL FEATURES; SUPERVISED MACHINE LEARNING; TRAINING AND TESTING; UNSUPERVISED MACHINE LEARNING; VIBRATION SIGNAL; WAVELET COEFFICIENTS; WAVELET THEORY; WAVELET-BASED FEATURE; WAVELETS;

ARTIFICIAL INTELLIGENCE; BALL BEARINGS; CONFORMAL MAPPING; DEFECTS; ENTROPY; FAULT DETECTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; OPTIMIZATION; ROLLING; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; VECTOR QUANTIZATION; VECTORS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

SELF ORGANIZING MAPS;

ARTICLE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; CLASSIFIER; COMPLEX MORLET WAVELET; CONTROLLED STUDY; FAULT DIAGNOSIS; INFORMATION PROCESSING; LEARNING VECTOR QUANTIZATION; MACHINE LEARNING; MATHEMATICAL PHENOMENA; MINIMUM SHANNON ENTROPY CRITERION; PRIORITY JOURNAL; ROLLING ELEMENT BEARING; SELF ORGANIZING MAP; SUPPORT VECTOR MACHINE; WAVELET TRANSFORM;

EID: 79954415606     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.01.021     Document Type: Article

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