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Volumn 16, Issue 7, 2008, Pages 769-786

Fault diagnosis of an industrial gas turbine prototype using a system identification approach

Author keywords

Analytical redundancy; Dynamic system identification; Fault detection and isolation; Model based fault diagnosis; Simulated industrial gas turbine

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ERRORS; FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); MONTE CARLO METHODS; ROBUST CONTROL; SENSITIVITY ANALYSIS;

EID: 41549112810     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2007.08.009     Document Type: Article
Times cited : (79)

References (14)
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    • Bartys, M.1    Patton, R.J.2    Syfert, M.3    de las Heras, S.4    Quevedo, J.5
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    • 41549090659 scopus 로고    scopus 로고
    • Korbicz, J., Koscielny, J. M., Kowalczuk, Z., & Cholewa, W. (Eds.) (2004). Fault diagnosis: Models, artificial intelligence, applications (1st ed.). Berlin: Springer; ISBN: 3540407677.
    • Korbicz, J., Koscielny, J. M., Kowalczuk, Z., & Cholewa, W. (Eds.) (2004). Fault diagnosis: Models, artificial intelligence, applications (1st ed.). Berlin: Springer; ISBN: 3540407677.
  • 8
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    • Linear dynamic filtering with noisy input and output
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    • Markovsky, I.1    De Moor, B.2
  • 9
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  • 14
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    • Van Huffel, S., & Lemmerling, P. (Eds.) (2002). Total least squares and errors-in-variables modeling: Analysis, algorithms and applications (1st ed.). Berlin: Springer; ISBN: 1402004761.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.