PCA based characteristic parameter extraction and failure recognition using LS-SVM

Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

Volumn , Issue , 2009, Pages

  Ming, Tingfeng ^a   He, Guo ^a   Wang, Hao ^a  

^a NAVAL UNIVERSITY OF ENGINEERING   (China)

Author keywords

Fault diagnosis; Principal component analysis; Pump; The least squares support vector machine; Wavelet packet transform

Indexed keywords

CHARACTERISTIC PARAMETER; CIRCULATION SYSTEMS; CONSTRUCTION METHOD; FAULT DIAGNOSIS; INTELLIGENT FAULT DIAGNOSIS; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI-CLASS; MULTI-CLASSIFICATION; RBF KERNEL FUNCTION; SVM ALGORITHM; TRAINING DATA SETS; WAVELET PACKET TRANSFORMS;

ARTIFICIAL INTELLIGENCE; CENTRIFUGAL PUMPS; COMPUTER SOFTWARE; DIAGNOSIS; FAILURE ANALYSIS; FEATURE EXTRACTION; GEARS; HYDRAULIC MACHINERY; MULTILAYER NEURAL NETWORKS; PACKET NETWORKS; PARAMETER EXTRACTION; PUMPS; SAFETY ENGINEERING; SUPPORT VECTOR MACHINES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77949705422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISE.2009.5363521     Document Type: Conference Paper

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