Principal-component analysis of multiscale data for process monitoring and fault diagnosis

AIChE Journal

Volumn 50, Issue 11, 2004, Pages 2891-2903

  Yoon, Seongkyu ^a,b   MacGregor, John F ^a  

^a MCMASTER UNIVERSITY   (Canada)

^b Umetrics Inc   (United States)

Author keywords

Fault detection; Fault diagnosis; Multiscale modeling; Principal component analysis; Process monitoring

Indexed keywords

CORRELATION METHODS; DATA ACQUISITION; DIAGNOSIS; FAULT TREE ANALYSIS; PROCESS CONTROL; STATISTICAL METHODS; UNITS OF MEASUREMENT;

CONTINUOUS STIRRED TANK REACTOR (CSTR) SYSTEM; FAULT DETECTION AND ISOLATION (FDI);

PRINCIPAL COMPONENT ANALYSIS;

PROCESSING FACILITY;

ARTICLE; COMPARATIVE STUDY; CONTINUOUS STIRRED TANK REACTOR; MATHEMATICAL COMPUTING; MEASUREMENT; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING;

EID: 8544283059     PISSN: 00011541     EISSN: None     Source Type: Journal    
DOI: 10.1002/aic.10260     Document Type: Article

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