Experimental investigation for fault diagnosis based on a hybrid approach using wavelet packet and support vector classification

The Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Li, Pengfei ^a,b   Jiang, Yongying ^a   Xiang, Jiawei ^a  

^a WENZHOU UNIVERSITY   (China)

^b GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ENERGY; EXPERIMENTAL STUDY; HYBRID; MACHINE LEARNING; NONLINEAR SYSTEM; SUPPORT VECTOR MACHINE; VIBRATION; WAVELET PACKET DECOMPOSITION; DEVICE FAILURE; DEVICE FAILURE ANALYSIS; PROCEDURES; SOUND DETECTION; WAVELET ANALYSIS;

ALGORITHMS; EQUIPMENT FAILURE; EQUIPMENT FAILURE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SOUND SPECTROGRAPHY; SUPPORT VECTOR MACHINES; VIBRATION; WAVELET ANALYSIS;

EID: 84896362387     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/145807     Document Type: Article

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