A fault diagnosis approach for rotor systems based on empirical mode decomposition method and support vector machines

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 26, Issue 16, 2006, Pages 162-167

  Yu, De Jie ^a   Chen, Miao Feng ^a   Cheng, Jun Sheng ^a   Yang, Yu ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Auto regressive model; Empirical mode decomposition; Fault diagnosis; Rotor systems; Support vector machine

Indexed keywords

CLASSIFIERS; COMPONENTS; DECOMPOSITION; VECTORS; VIBRATIONS (MECHANICAL);

AUTOREGRESSIVE MODEL; EMPIRICAL MODE DECOMPOSITION (EMD); FAULT DIAGNOSIS; FEATURE VECTORS; INTRINSIC MODE FUNCTION (IMF); ROTOR SYSTEMS; SUPPORT VECTOR MACHINE (SVM);

ROTORS;

EID: 33749859540     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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