• DocumentCode
    2850930
  • Title

    A virtual instruments -based visualization of fault diagnosis method

  • Author

    Song, Yunxue ; Shao, Xintong ; Shi, Yongsheng

  • Author_Institution
    Coll. of Aeronaut. Eng., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    260
  • Lastpage
    263
  • Abstract
    Combining with virtual instrument technology and fault diagnosis techniques, a visualized fault diagnosis system based on virtual instrument was established under the VR environment. Firstly, the implementation of virtual instrument and the construction method of some relevant static and dynamic components were put forward. Secondly the simulation on the fault diagnosis process was accomplished by means of knowledge-based visualized component. Then the fault symptoms was displayed through virtual instrument and the diagnosis was more directly perceived through fault diagnosis training with operation. Finally, avisualized fault diagnosis was conducted through taking aircraft air condition system as an example, the actual fault detection and removed process was simulated and the intended goal was achieved.
  • Keywords
    data visualisation; fault diagnosis; knowledge based systems; virtual instrumentation; VR; dynamic component; fault diagnosis visualization; fault symptom; knowledge-based visualized component; static component; virtual instrument; Cognition; Databases; Switches; Visualization; fault diagnosis; reasoning; virtual instrument; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258639
  • Filename
    6258639