Rolling element bearing fault diagnosis using autocorrelation and continuous wavelet transform

JVC/Journal of Vibration and Control

Volumn 17, Issue 14, 2011, Pages 2081-2094

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

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Artificial neural network; autocorrelation; energy to Shannon entropy ratio; support vector machine wavelets

Indexed keywords

AUTOCORRELATION; BEARINGS (MACHINE PARTS); COMPLEX NETWORKS; FAILURE ANALYSIS; FAULT DETECTION; NEURAL NETWORKS; SOFT COMPUTING; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; CONTINUOUS WAVELET TRANSFORM; DIAGNOSIS PERFORMANCE; ROLLING ELEMENT BEARING; SHANNON ENTROPY; SOFTCOMPUTING TECHNIQUES; STATISTICAL FEATURES; WAVELET COEFFICIENTS;

ROLLER BEARINGS;

EID: 84979498178     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546310395970     Document Type: Article

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