• DocumentCode
    1884087
  • Title

    Application of expert system techniques to fault tree diagnostic data

  • Author

    Kneale, James B.

  • Author_Institution
    Div. of Electron. Syst. & Sensors, Northrop Grumman Corp., Baltimore, MD, USA
  • fYear
    1997
  • fDate
    22-25 Sep 1997
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    This paper describes a diagnostic system that traverses a fault tree to find the shortest path to a result. This differs from many systems using If /Then/ Else statements placed in the test software to direct troubleshooting, and has several unique advantages. Expert system test selection and result evaluation strategies allow diagnostics to be started at any time, even if the previous tests have been executed out of sequence. A simple text tree format captures the fault isolation data. This simplicity eases the entry of troubleshooting information, and increases the effectiveness of the entire system
  • Keywords
    automatic test software; diagnostic expert systems; electronic equipment testing; fault diagnosis; expert system techniques; fault isolation data; fault tree diagnostic data; inference engine; result evaluation; test software; text tree format; troubleshooting; Artificial intelligence; Decision trees; Diagnostic expert systems; Embedded software; Fault trees; Postal services; Sensor phenomena and characterization; Sensor systems; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AUTOTESTCON, 97. 1997 IEEE Autotestcon Proceedings
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    0-7803-4162-7
  • Type

    conf

  • DOI
    10.1109/AUTEST.1997.633571
  • Filename
    633571