• DocumentCode
    3515052
  • Title

    Multi-state component importance analysis using multi-state multi-valued decision diagrams

  • Author

    Shrestha, Akhilesh ; Xing, Liudong ; Coit, David W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Massachusetts Dartmouth, Dartmouth, MA, USA
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    Component importance analysis helps identify the vulnerabilities within a system and quantify the criticality of the system components. Multistate component importance analysis poses unique challenges to the existing methods that are primarily based on binary state applications. This paper presents a multistate multivalued decision diagram based analytical method for multistate component importance analysis. The advantages of the proposed method are illustrated through the comparison to a Monte Carlo simulation based method and the detailed analysis of a case study.
  • Keywords
    Monte Carlo methods; decision diagrams; reliability theory; Monte Carlo simulation based method; binary state application; multistate component importance analysis; multistate multivalued decision diagram; Analytical models; Application software; Computer integrated manufacturing; Design optimization; Modeling; Monte Carlo methods; Particle measurements; Reliability; Risk management; Systems engineering and theory; Monte Carlo simulation; composite importance measure (CIM); multi-state multi-valued decision diagram (MMDD); multi-state system (MSS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5270231
  • Filename
    5270231