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Volumn 26, Issue 12, 2007, Pages 23-27
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Fault diagnosis approach based on principal-component-bispectrum analysis and support vector machine for rotating machinery
a
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Author keywords
Bispectrum; Fault diagnosis; Feature extraction; Rotating machinery; Support vector machine
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Indexed keywords
BACKPROPAGATION;
CLASSIFICATION (OF INFORMATION);
FAILURE ANALYSIS;
FEATURE EXTRACTION;
NEURAL NETWORKS;
ONLINE SYSTEMS;
SIGNAL PROCESSING;
SUPPORT VECTOR MACHINES;
BACKWARD PROPAGATION NEURAL NETWORK (BP NN);
ONLINE FAULT MONITORING;
PRINCIPAL COMPONENT BISPECTRUM ANALYSIS;
TURBINE FAULT;
ROTATING MACHINERY;
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EID: 38549129788
PISSN: 10003835
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (4)
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References (14)
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