• DocumentCode
    3003953
  • Title

    Hybrid causal models for system diagnostics

  • Author

    Wang, Chengdong

  • Author_Institution
    ASML, Norwalk, CT, USA
  • fYear
    2011
  • fDate
    24-27 Jan. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    System diagnostics, also called system fault diagnostics or fault diagnostics is critical to reduce mean time to repair (MTTR), maintain the availability and keep cost of ownership down. In this paper, a model-based diagnosis approach using hybrid causal model utilizing probabilistic reasoning is introduced. This model has the advantages of being general and integrated with probabilistic reasoning capability. Moreover, soft cause can be included in this hybrid causal mo del as well.
  • Keywords
    fault diagnosis; inference mechanisms; maintenance engineering; hybrid causal models; mean time to repair; probabilistic reasoning; system fault diagnostics; Bayesian methods; Biological system modeling; Boolean functions; Cognition; Data structures; Fault trees; Reliability; Bayesian belief networks; Diagnostics; Hybrid Causal Model; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2011 Proceedings - Annual
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4244-8857-5
  • Type

    conf

  • DOI
    10.1109/RAMS.2011.5754519
  • Filename
    5754519