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Volumn 12, Issue 2, 2002, Pages 277-289

Dynamic process fault monitoring based on neural network and PCA

Author keywords

Neural network; Principal component analysis; Process monitoring

Indexed keywords

CONDITION MONITORING; MATHEMATICAL MODELS; MULTIVARIABLE CONTROL SYSTEMS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 0036466502     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0959-1524(01)00027-0     Document Type: Article
Times cited : (153)

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    • Frank, P.M.1
  • 5
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    • Process fault detection based on modeling and estimation methods: A survey
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    • Isermann, R.1
  • 17
  • 28
    • 0031626274 scopus 로고    scopus 로고
    • Systematic derivations of model predictive control based on artificial neural network
    • (1998) Chem. Eng. Comm. , vol.164 , pp. 35
    • Chen, J.1
  • 32
    • 84951601886 scopus 로고
    • Cross-validatory estimation of components in factor and principal components models
    • (1978) Technometrics , vol.20 , pp. 397
    • Wold, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.