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Volumn , Issue , 2002, Pages 165-175

Fault detection and identification in chemical processes using multivariable statistical techniques and SVM for classification

Author keywords

Fault detection; ICA; NLPCA; PCA; Support Vector Machines

Indexed keywords

ALGORITHMS; CLASSIFIERS; IDENTIFICATION (CONTROL SYSTEMS); INDEPENDENT COMPONENT ANALYSIS; MULTIVARIABLE CONTROL SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

EID: 0036974896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
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  • 3
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  • 4
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  • 7
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  • 8
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  • 9
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.