• DocumentCode
    1568973
  • Title

    A universal fault diagnosis expert system based on fault tree

  • Author

    Jian, Zhou ; Jinsong, Yu ; Jing, Dai

  • Author_Institution
    Dept. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2009
  • Abstract
    The efficiency of diagnosis and the accuracy of diagnosis result have been improved by amalgamating and combining the advantage of fault tree analysis and expert system. The visible modeling of fault tree model has been realized by introducing the technique of Visio components development, which not only makes the user interface more intuitional and friendly, but also corresponds to the specification of fault tree model greatly and makes the checking of the consistency and validity of fault tree model more convenient. The modular and hierarchical thought, which is combined with the information description of object oriented, has been applied in different diagnosis objects, which not only implements the representation of knowledge base for expert system, but also enhances the system´s universal character. Finally, the framework of C/S has also been built in this system by the technique of database, which improves the system´s performance of open, maintenance and transplant to a large extent.
  • Keywords
    expert systems; fault trees; knowledge representation; Visio components development; fault tree analysis; fault tree model; knowledge base representation; universal fault diagnosis expert system; Diagnostic expert systems; Expert systems; Fault diagnosis; Fault trees; Instruments; Knowledge acquisition; Knowledge management; Object oriented databases; Object oriented modeling; System performance; Visio component development; database technique; expert system; fault tree; object oriented;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274892
  • Filename
    5274892