• DocumentCode
    68632
  • Title

    Diagnostic model maturation

  • Author

    Strasser, Shane ; Sheppard, John

  • Author_Institution
    Montana State University, USA
  • Volume
    28
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    34
  • Lastpage
    43
  • Abstract
    Performing fault diagnosis is an extremely difficult problem [1]. Given a complex system and a set of tests or alarm outcomes, the user wants to determine the most likely faulty component. Some of the most common diagnostic algorithms used are rule based, fault dictionaries, and fault trees [2], [3], [4]. Model-based methods provide another common set of approaches to performing system level diagnosis, which compare observations from the system with those expected from a model [5], [6].
  • Keywords
    Algorithm design and analysis; Bayesian methods; Fault diagnosis; Inference algorithms; Maintenance engineering; Monitoring;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/MAES.2013.6470443
  • Filename
    6470443