Selection of the number of principal components based on fault signal-to-noise ratio

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2008, Pages 3637-3642

  Tang, Xiaochu ^a   Li, Yuan ^a  

^a SHENYANG UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Fault detection; Fault SNR; Fisher discriminant analysis; Principal component analysis

Indexed keywords

DISCRIMINANT ANALYSIS; FAULT DETECTION; FISHER INFORMATION MATRIX; PRINCIPAL COMPONENT ANALYSIS;

FAULT DIRECTION; FAULT SNR; FISHER DISCRIMINANT ANALYSIS; NUMBER OF PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS; PRIOR INFORMATION; PROCESS FAULTS; SENSOR FAULT;

SIGNAL TO NOISE RATIO;

EID: 52149123164     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593505     Document Type: Conference Paper

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