On-line Fault Detection Using SVM-based Dynamic MPLS for Batch Processes1 1 Supported by the National Natural Science Foundation of China (No.60574038) and the Open Project Program of the State Key Laboratory of Bioreactor Engineering/ECUST.

Chinese Journal of Chemical Engineering

Volumn 14, Issue 6, 2006, Pages 754-758

  LI, Yunfeng ^a   WANG, Zhifeng ^b   YUAN, Jingqi ^a,c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b SHANGHAI SECOND POLYTECHNIC UNIVERSITY   (China)

^c EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

fault detection; multiway partial least squares; support vector machines; time lagged window

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; FAULT TREE ANALYSIS; LEAST SQUARES APPROXIMATIONS; PROCESS CONTROL;

FAULT DETECTION; MULTIWAY PARTIAL LEAST SQUARES; SUPPORT VECTOR MACHINES (SVM); TIME LAGGED WINDOW;

LEARNING SYSTEMS;

COMPUTATION THEORY; COMPUTER SIMULATION; FAULT TREE ANALYSIS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; PROCESS CONTROL;

EID: 33846031976     PISSN: 10049541     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1004-9541(07)60007-X     Document Type: Article

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