Hybrid intelligent fault diagnosis based on adaptive lifting wavelet and multi-class support vector machine

2010 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2010

Volumn , Issue , 2010, Pages 415-420

  Shen, Zhong Jie ^a   Cheng, Xue Feng ^a   He, Zheng Jia ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Adaptive lifting wavelet; Hybrid intelligent; Multi class support vector machine; Salient features

Indexed keywords

CLASSIFICATION ACCURACY; EVALUATION TECHNIQUES; HYBRID INTELLIGENT; INTELLIGENT FAULT DIAGNOSIS; INTELLIGENT FAULT DIAGNOSIS MODEL; LIFTING WAVELET; LOCAL CHARACTERISTICS; MULTI-CLASS SUPPORT VECTOR MACHINES; ORIGINAL SIGNAL; ROTATING MACHINE; SALIENT FEATURES; SECOND GENERATION WAVELET; STATISTICAL FEATURES; TIME DOMAIN;

CLASSIFICATION (OF INFORMATION); PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS; VECTORS; WAVELET ANALYSIS;

SIGNAL PROCESSING;

EID: 77958496640     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2010.5576405     Document Type: Conference Paper

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