Decentralized fault diagnosis of large-scale processes using multiblock kernel principal component analysis

Zidonghua Xuebao/ Acta Automatica Sinica

Volumn 36, Issue 4, 2010, Pages 593-597

  Zhang, Ying Wei ^a   Zhou, Hong ^a   Qin, S Joe ^b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b University of Southern California ^*  (United States)

Author keywords

Fault detection; Multiblock kernel methods; Nonlinear component analysis; Principal component analysis (PCA); Process monitoring

Indexed keywords

DECENTRALIZED FAULT DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS; FAULT DIAGNOSIS; KERNEL METHODS; KERNEL PRINCIPAL COMPONENT ANALYSIS; MULTIBLOCKS; NON-LINEAR RELATIONSHIPS; NONLINEAR APPROACH; NONLINEAR COMPONENTS; NONLINEAR FAULTS; PROCESS VARIABLES; RELATIVE CONTRIBUTION; SQUARED PREDICTION ERRORS; TENNESSEE EASTMAN PROCESS; UPPER CONTROL LIMIT;

ERROR STATISTICS; FAILURE ANALYSIS; FAULT DETECTION; NONLINEAR ANALYSIS; PROCESS CONTROL; PROCESS MONITORING; TRANSMITTERS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77952682127     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2010.00593     Document Type: Article

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