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Volumn 1, Issue 1, 2010, Pages

Metrics for offline evaluation of prognostic performance

Author keywords

[No Author keywords available]

Indexed keywords


EID: 79960907419     PISSN: None     EISSN: 21532648     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (399)

References (38)
  • 5
    • 33745063376 scopus 로고    scopus 로고
    • Uncertainty Management for Engineering Systems Planning and Design
    • Cambridge, MA
    • DeNeufville, R. (2004). Uncertainty Management for Engineering Systems Planning and Design. Engineering Systems Symposium MIT, Cambridge, MA.
    • (2004) Engineering Systems Symposium MIT
    • DeNeufville, R.1
  • 8
    • 78650027323 scopus 로고    scopus 로고
    • Prognosis Requirements and V&V: Panel Discussion on PHM Capabilities: Verification, Validation, and Certification Issues
    • Denver, CO
    • Engel, S. J. (2008). Prognosis Requirements and V&V: Panel Discussion on PHM Capabilities: Verification, Validation, and Certification Issues. International Conference on Prognostics and Health Management (PHM08), Denver, CO.
    • (2008) International Conference on Prognostics and Health Management (PHM08)
    • Engel, S.J.1
  • 14
    • 24744441184 scopus 로고    scopus 로고
    • A Framework for Understanding Uncertainty and its Mitigation and Exploitation in Complex Systems
    • Cambridge MA
    • Hastings, D., & McManus, H. (2004). A Framework for Understanding Uncertainty and its Mitigation and Exploitation in Complex Systems. Engineering Systems Symposium MIT, Cambridge MA.
    • (2004) Engineering Systems Symposium MIT
    • Hastings, D.1    McManus, H.2
  • 21
    • 0025414881 scopus 로고
    • Uncertainty Management in Expert Systems
    • Ng, K.-C., & Abramson, B. (1990). Uncertainty Management in Expert Systems. IEEE Expert Systems, 5, 20.
    • (1990) IEEE Expert Systems , vol.5 , pp. 20
    • Ng, K.-C.1    Abramson, B.2
  • 33
    • 58349094129 scopus 로고    scopus 로고
    • A Survey of Artificial Intelligence for Prognostics
    • Arlington, VA
    • Schwabacher, M., & Goebel, K. (2007). A Survey of Artificial Intelligence for Prognostics. AAAI Fall Symposium, Arlington, VA.
    • (2007) AAAI Fall Symposium
    • Schwabacher, M.1    Goebel, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.