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Volumn 4, Issue 3, 2008, Pages 271-284

Failure probability estimation using fuzzy fault tree analysis (FFTA) with PDM data in process plants

Author keywords

Failure cause; Failure event; Failure mode; Fuzzy probability; Interval of Confidence; Predictive maintenance; Presumption level

Indexed keywords

CONDITION BASED MAINTENANCE; CONDITION MONITORING; FAULT TREE ANALYSIS; RELIABILITY ANALYSIS; STEELMAKING; TREES (MATHEMATICS);

EID: 84874586571     PISSN: 09731318     EISSN: 29938341     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (24)
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  • 9
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    • Seker Serhat and Emine Ayaz, A Study of Condition Monitoring for Induction Motors under Accelerated Aging Process, IEEE Power Engineering letters, July 2002.
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    • Serhat, S.1    Ayaz, E.2
  • 10
    • 0032593046 scopus 로고    scopus 로고
    • Failure identification and analysis for high-voltage induction motors in the petrochemical industry
    • July/August
    • Thorsen Olav Vaag and Dalva Magnus, Failure Identification and Analysis for High-Voltage Induction Motors in the Petrochemical Industry, IEEE Transactions on Industry Applications, Vol.-35, No. 4. July/August 1999.
    • (1999) IEEE Transactions on Industry Applications , vol.35 , Issue.4
    • Vaag, T.O.1    Magnus, D.2
  • 12
    • 2542531519 scopus 로고    scopus 로고
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    • May
    • Richard E. Brown, Failure Rate Modelling Using Equipment Inspection Data, IEEE Transactions on power systems, Vol.-19, No. 2, May 2004.
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    • Brown, R.E.1
  • 18
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    • A fuzzy set approach to fault and reliability analysis
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    • Singer, D.1
  • 20
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    • Misra, K.B.1    Weber, G.G.2
  • 23
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    • Bibliography on induction motors faults detection and diagnosis
    • Dec
    • Benbouzid M. E. H, Bibliography on Induction Motors Faults Detection and Diagnosis, IEEE Transactions on Energy Conversion, Vol.-14, No. 4, Dec. 1999.
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    • Benbouzid, M.E.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.