Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS

Chemometrics and Intelligent Laboratory Systems

Volumn 120, Issue , 2013, Pages 1-14

  Lau, C K ^a   Ghosh, Kaushik ^b,c   Hussain, M A ^a   Che Hassan, C R ^a  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c ABB CORPORATE RESEARCH   (India)

Author keywords

ANFIS; Feature extraction; MSPCA; Online fault diagnosis; Tennessee Eastman process

Indexed keywords

ADAPTIVE NEUROFUZZY INFERENCE SYSTEM; ARTICLE; COMPUTER AIDED DESIGN; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DATA EXTRACTION; DIAGNOSTIC ERROR; FUZZY SYSTEM; GOOD LABORATORY PRACTICE; MATHEMATICAL COMPUTING; MULTI SCALE PRINCIPAL COMPONENT ANALYSIS; ONLINE FAULT DIAGNOSIS; ONLINE SYSTEM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; PROCESS MONITORING; SCORING SYSTEM; SENSITIVITY ANALYSIS; TENNESSEE EASTMAN PROCESS;

EID: 84868677902     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.10.005     Document Type: Article

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