Research on rub impact fault diagnosis method of rotating machinery based on EMD and SVM

2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009

Volumn , Issue , 2009, Pages 4806-4810

  Li, Yibo ^a   Meng, Fanlong ^a   Lu, Yanjun ^a  

^a SHENYANG AEROSPACE UNIVERSITY   (China)

Author keywords

EMD; Fault identification; IMF; Singular value sequence; Support vector machine

Indexed keywords

COMMON FAULTS; DIAGNOSIS METHODS; EMPIRICAL MODE DECOMPOSITION; FAULT IDENTIFICATION; FAULT IDENTIFICATIONS; FAULT PATTERNS; FEATURE VECTORS; FINITE NUMBER; GENERALIZATION ABILITY; HIGH ROBUSTNESS; INPUT PARAMETER; INTRINSIC MODE FUNCTIONS; MECHANICAL EQUIPMENT; RBF NEURAL NETWORK; ROTOR-BEARING SYSTEM; RUB IMPACT FAULT; SINGULAR VALUES; SVM CLASSIFIERS;

FAILURE ANALYSIS; IMAGE RETRIEVAL; MECHATRONICS; NEURAL NETWORKS; ROTATING MACHINERY; ROTATION; SIGNAL PROCESSING; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 77449119306     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2009.5246424     Document Type: Conference Paper

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