Process fault detection and diagnosis based on principal component analysis

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

Volumn 2006, Issue , 2006, Pages 3551-3556

  He, Tao ^a,b,c   Xie, Wei Rong ^a,b   Wu, Qing Hua ^a,b,c   Shi, Tie Lin ^a,b,c  

^a HUBEI UNIVERSITY OF TECHNOLOGY   (China)

^b Hubei Key Lab of Manufacture Quality Engineering   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Condition monitoring; Fault detection; Principal component analysis

Indexed keywords

CONDITION MONITORING; DATA REDUCTION; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL;

DATA SETS; FAULT DETECTION AND DIAGNOSIS; FAULT DIAGNOSIS MODEL; MECHANISM MODELS;

FAULT DETECTION;

EID: 33947220461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258550     Document Type: Conference Paper

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