Improved performance of fault detection based on selection of the optimal number of principal components

Zidonghua Xuebao/ Acta Automatica Sinica

Volumn 35, Issue 12, 2009, Pages 1550-1557

  Li, Yuan ^a   Tang, Xiao Chu ^a  

^a SHENYANG UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Fault detection; Fault signal to noise ratio (SNR); Principal component (PC); Sensitivity

Indexed keywords

FAULT SIGNAL; FAULT SNR; OPTIMAL NUMBER; PRINCIPAL COMPONENT; PRINCIPAL COMPONENT (PC); PRINCIPAL COMPONENTS; SIMULATION RESULT; TENNESSEE EASTMAN PROCESS;

FAULT DETECTION; MICROCOMPUTERS; OPTIMIZATION; SIGNAL DETECTION; SIGNAL TO NOISE RATIO;

PRINCIPAL COMPONENT ANALYSIS;

EID: 74049104840     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1004.2009.01550     Document Type: Article

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