A study on the number of principal components and sensitivity of fault detection using PCA

Computers and Chemical Engineering

Volumn 31, Issue 9, 2007, Pages 1035-1046

  Tamura, Masayuki ^a   Tsujita, Shinsuke ^a  

^a TOKYO GAS CO LTD   (Japan)

Author keywords

Fault detection; Principal component analysis; Process monitoring; Statistical process control

Indexed keywords

FAULT DETECTION; MATHEMATICAL MODELS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL TO NOISE RATIO; STATISTICAL PROCESS CONTROL;

MULTIPLE MODELS; SENSOR FAULTS;

PROCESS MONITORING;

FAULT DETECTION; MATHEMATICAL MODELS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; SIGNAL TO NOISE RATIO; STATISTICAL PROCESS CONTROL;

EID: 34249106480     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2006.09.004     Document Type: Article

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