• DocumentCode
    1731438
  • Title

    Fault Diagnosis of Aerospace Electrical Equipment Based on Fuzzy Information Fusion

  • Author

    Hongfeng, Wang ; Ganlin, Shan ; Lu, Gao

  • fYear
    2007
  • Abstract
    The complexity of modern aerospace electric equipment is higher than before, thus it cannot meet the need of speedy fault diagnosis to use single diagnosis pattern. Multi-resource information fusion is imported to the fault diagnosis of electronic equipment in this paper, use all stages information of multi-sensor and multiple information resource, adopt composite disposal, namely integrate the fusion of data, character and decision, and unite the fusion structure of distributed and integrated. The multi-resource fusion diagnosis structure and the fusion arithmetic are detailed. Finally, a computer simulation example is carried out; the simulation result shows that the method is effective and practical.
  • Keywords
    aerospace instrumentation; aerospace testing; fault diagnosis; sensor fusion; aerospace electrical equipment; computer simulation; data fusion; fault diagnosis; fuzzy information fusion; multiple information resource; Aerospace electronics; Aerospace engineering; Circuit faults; Circuit simulation; Computational modeling; Computer simulation; Databases; Electronic equipment; Fault diagnosis; Instruments; aerospace electrical equipment; fault diagnosis; information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350988
  • Filename
    4350988