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Volumn 4, Issue 5 B, 2010, Pages 1811-1816

Fault detection and diagnosis for process control rig using artificial intelligent

Author keywords

Fault detection and diagnosis; Fuzzy logic; Genetic algorithms; Neural network; Process control

Indexed keywords

ARTIFICIAL INTELLIGENT; ERROR SIGNAL; FAULT CLASSIFICATION; FAULT DETECTION AND DIAGNOSIS; FAULT MODEL; NORMAL CONDITION;

EID: 77956920681     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (18)

References (14)
  • 1
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  • 2
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    • Process fault detection based on modeling and estimation methods: A survey
    • R. Isermann, Process fault detection based on modeling and estimation methods: A survey, Automatica, vol.20, 1984.
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  • 3
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    • Gertler, J.1
  • 4
    • 0003268674 scopus 로고
    • Parity space approach to model based fault diagnosis: A tutorial survey and some new results
    • Baden
    • R. J. Patton and J. Chen, Parity space approach to model based fault diagnosis: A tutorial survey and some new results, Proc. of the IFAC/IMACS Symp., Baden, 1991.
    • (1991) Proc. of the IFAC/IMACS Symp.
    • Patton, R.J.1    Chen, J.2
  • 5
    • 0023168007 scopus 로고
    • Malfunction diagnosis using quantitative models with non-boolean reasoning in expert systems
    • M. A. Kramer, Malfunction diagnosis using quantitative models with non-boolean reasoning in expert systems, AIChE, vol.33, no.1, pp.130-140, 1987.
    • (1987) AIChE , vol.33 , Issue.1 , pp. 130-140
    • Kramer, M.A.1
  • 6
    • 0023169453 scopus 로고
    • Model-based reasoning in diagnostic expert system for chemical process plant
    • S. H. Rich and V. Venkatasubramanian, Model-based reasoning in diagnostic expert system for chemical process plant, Computers and Chemical Engineering, vol.11, no.2, pp.111-122, 1987.
    • (1987) Computers and Chemical Engineering , vol.11 , Issue.2 , pp. 111-122
    • Rich, S.H.1    Venkatasubramanian, V.2
  • 8
    • 45149091985 scopus 로고    scopus 로고
    • Neural networks based system identification techniques for model besed fault detection of nonlinear systems
    • A. Fekih, H. Xu and F. N. Chowdhury, Neural networks based system identification techniques for model besed fault detection of nonlinear systems, International Journal of Innovative Computing, Information and Control, vol.3, no.5, pp.1073-1085, 2007.
    • (2007) International Journal of Innovative Computing, Information and Control , vol.3 , Issue.5 , pp. 1073-1085
    • Fekih, A.1    Xu, H.2    Chowdhury, F.N.3
  • 9
    • 76549095061 scopus 로고    scopus 로고
    • LMI approach to design fault detection filter for discrete-time switched systems with state delays
    • Y. Wang, W. Wang and D. Wang, LMI approach to design fault detection filter for discrete-time switched systems with state delays, International Journal of Innovative Computing, Information and Control, vol.6, no.1, pp.387-397, 2010.
    • (2010) International Journal of Innovative Computing, Information and Control , vol.6 , Issue.1 , pp. 387-397
    • Wang, Y.1    Wang, W.2    Wang, D.3
  • 10
    • 84945575284 scopus 로고    scopus 로고
    • Fault diagnosis of an industrial gas turbine using neuro-fuzzy methods
    • V. Pallade, R. J. Patton, F. J. Uppal, J. Quevedo and S. Daley, Fault diagnosis of an industrial gas turbine using neuro-fuzzy methods, IFAC, 2002.
    • (2002) IFAC
    • Pallade, V.1    Patton, R.J.2    Uppal, F.J.3    Quevedo, J.4    Daley, S.5
  • 11
    • 77956896445 scopus 로고    scopus 로고
    • Fuzzy modeling for reboiler system
    • Chiang Mai, Thailand
    • R. Yusof, M. Khalid and M. F. Ibrahim, Fuzzy modeling for reboiler system, IEEE TENCON 2004, Chiang Mai, Thailand, 2004.
    • (2004) IEEE TENCON 2004
    • Yusof, R.1    Khalid, M.2    Ibrahim, M.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.