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Volumn 2, Issue PART 1, 2009, Pages 257-262

Failure prognostic by using Dynamic Bayesian Networks

Author keywords

Dynamic Bayesian Networks; Failure; Prognostic; Remaining Useful Life

Indexed keywords

COMPUTER SYSTEM RECOVERY;

EID: 79960949514     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090610-3-it-4004.00049     Document Type: Conference Paper
Times cited : (16)

References (14)
  • 2
    • 84879325810 scopus 로고    scopus 로고
    • Prognostic enhancements to diagnostic systems for improved condition-based maintenance
    • Big Sky, USA
    • Byington, C., Roemer, M., Kacprzynski, G., and Galie, T. (2002). Prognostic enhancements to diagnostic systems for improved condition-based maintenance. In 2002 IEEE Aerospace Conf., Big Sky, USA.
    • (2002) 2002 IEEE Aerospace Conf.
    • Byington, C.1    Roemer, M.2    Kacprzynski, G.3    Galie, T.4
  • 7
    • 34848903894 scopus 로고    scopus 로고
    • Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system
    • DOI 10.1016/j.ress.2006.12.004, PII S095183200600278X
    • Muller, A., M.C. Suhner, and Iung, B. (2008). Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system. Reliability Engineering and System Safety, 93, 234-253. (Pubitemid 47499010)
    • (2008) Reliability Engineering and System Safety , vol.93 , Issue.2 , pp. 234-253
    • Muller, A.1    Suhner, M.-C.2    Iung, B.3
  • 11
    • 33646534620 scopus 로고    scopus 로고
    • A review on machinery diagnostics and prognostics implementing condition-based maintenance
    • A.K.S. Jardine, Lin, D., and Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. and Sign. Proc., 20, 1483-1510.
    • (2006) Mech. Syst. and Sign. Proc , vol.20 , pp. 1483-1510
    • Jardine, A.K.S.1    Lin, D.2    Banjevic, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.