Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the Tennessee Eastman process

IEEE Transactions on Control Systems Technology

Volumn 19, Issue 5, 2011, Pages 1114-1127

  Li, Gang ^a   Alcala, Carlos F ^b   Qin, S Joe ^c   Zhou, Donghua ^a  

^a TSINGHUA UNIVERSITY   (China)

^b University of Southern California   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Output relevant fault diagnosis; reconstruction based contribution; total projection to latent structures

Indexed keywords

FAULT TYPES; GEOMETRICAL PROPERTY; IN-PROCESS; INDUSTRIAL PROCESSS; MONITORING METHODS; MULTIVARIATE STATISTICAL PROCESS MONITORING; OUTPUT-RELEVANT FAULT DIAGNOSIS; PARTIAL LEAST SQUARES; PRIOR KNOWLEDGE; PROJECTION TO LATENT STRUCTURES; QUALITY DATA; RECONSTRUCTION-BASED CONTRIBUTION; RECYCLE LOOP; TENNESSEE EASTMAN PROCESS;

MULTIVARIANT ANALYSIS; PROCESS MONITORING; QUALITY CONTROL; STATISTICAL PROCESS CONTROL;

PRINCIPAL COMPONENT ANALYSIS;

EID: 80051912783     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2010.2071415     Document Type: Article

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