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Volumn 2, Issue January, 2003, Pages 161-164

A combined analytical and knowledge based method for fault detection and isolation

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; DECISION MAKING; DECISION TREES; FACTORY AUTOMATION; KNOWLEDGE BASED SYSTEMS;

EID: 84893320074     PISSN: 19460740     EISSN: 19460759     Source Type: Conference Proceeding    
DOI: 10.1109/ETFA.2003.1248689     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 1
    • 0034318637 scopus 로고    scopus 로고
    • A new residual generation and evaluation method for detection and isolation of faults in nonlinear systems
    • Q. Zhang. "A new residual generation and evaluation method for detection and isolation of faults in nonlinear systems," International Journal of Adaptive Control and Signal Processing, vol, 14, pp. 759-773, 2000.
    • (2000) International Journal of Adaptive Control and Signal Processing , vol.14 , pp. 759-773
    • Zhang, Q.1
  • 4
    • 0031072804 scopus 로고    scopus 로고
    • Generation of daignostic trees by means of simplified process models and machine learning
    • D. Juricic, A. Znidarsic, and D. Fussel, "Generation of daignostic trees by means of simplified process models and machine learning," Etigng Application. Artifi Intell, vol. 10, no. 1, pp, 15-29. 1997.
    • (1997) Etigng Application. Artifi Intell , vol.10 , Issue.1 , pp. 15-29
    • Juricic, D.1    Znidarsic, A.2    Fussel, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.