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Volumn 30, Issue 5, 2009, Pages 990-996

Monitoring method for batch process based on ICA-MPCA

Author keywords

mannanase fermentation batch process; Batch process; ICA; ICA MPCA; MPCA

Indexed keywords

BATCH PROCESS; BATCH PROCESS MONITORING; CONFIDENCE LIMIT; DISTRIBUTED PROCESS; ICA; ICA-MPCA; MANNANASE; MONITORING METHODS; MPCA; MULTIVARIATE NORMAL DISTRIBUTIONS; PROCESS INFORMATION; STATISTICAL CONTROL;

EID: 67649195571     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (14)

References (11)
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  • 2
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  • 3
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    • The application of principal component analysis and kernel density estimation to enhance process monitoring
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    • Chen, Q.1    Wynne, R.J.2    Goulding, P.3
  • 4
    • 0030525683 scopus 로고    scopus 로고
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    • Martin, E.B.1    Morris, A.J.2
  • 5
    • 0141496923 scopus 로고    scopus 로고
    • Independent component analysis: a survey
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    • Yang, Z.Q.1    Li, Y.2    Hu, D.W.3
  • 6
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    • Decomposition and recovery on AR based on ICA and higher-order cumulant
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    • (2008) Chinese Journal of Scientific Instrument , vol.29 , Issue.9 , pp. 1836-1840
    • Zhang, Y.J.1    Qi, R.2    Li, H.W.3
  • 8
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    • Fast and robust fixed-point algorithms for independent component analysis
    • Hyvarinen A. Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999, 10(3):626-634.
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    • Hyvarinen, A.1
  • 9
  • 10
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    • Monitoring independent components for fault detection
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    • (2003) AIChE Journal , vol.49 , Issue.4 , pp. 969-976
    • Manabu, K.1    Tannaka, S.2    Hasebe, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.