WPD-PCA-based laser welding process monitoring and defects diagnosis by using FNN and SVM

IEEE Transactions on Industrial Electronics

Volumn 62, Issue 1, 2015, Pages 628-636

  You, Deyong ^a   Gao, Xiangdong ^a   Katayama, Seiji ^b  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Fault diagnosis; feedforward neural network (FNN); photodiodes; principal component analysis (PCA); process monitoring; support vector machine (SVM); wavelet packet decomposition (WPD)

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEFECTS; ELECTRIC WELDING; FAILURE ANALYSIS; FAULT DETECTION; FEEDFORWARD NEURAL NETWORKS; IMAGE PROCESSING; IMAGE RETRIEVAL; LASER BEAM WELDING; MATHEMATICAL MODELS; MULTIVARIANT ANALYSIS; PATTERN RECOGNITION; PHOTODIODES; PROCESS CONTROL; PROCESS MONITORING; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

CLASSIFICATION ACCURACY; IMAGE PROCESSING TECHNOLOGY; LASER WELDING MONITORING; MACHINE LEARNING METHODS; MULTIVARIATE STATISTICS; SUPPORT VECTOR MACHINE CLASSIFICATION; WAVELET PACKET DECOMPOSITION; WAVELET PACKET DECOMPOSITIONS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84919934624     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2319216     Document Type: Article

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