• DocumentCode
    3442295
  • Title

    The information-enhanced fault diagnosis system design of avionics power supply module

  • Author

    Fuchao Song ; Wenkui Hou ; Long Shi

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    1758
  • Lastpage
    1761
  • Abstract
    This paper is based on the engineering requirements of intelligent fault diagnosis technology, and designes the information-enhanced fault diagnosis system for avionics power supply module. Firstly, we designed the framework of the system, gave the information that needed for fault diagnosis and the way to get it. Then, the fuzzy neural network model was established which combines the neural network model with the fuzzy diagnostic model. Based on this, we designed the fault diagnosis hardware platform with detection chip and data acquisition function, and the software to control it. This paper provides a strong support for the research of avionics embedded intelligent diagnosis method. This paper is helpful for designing the embedded diagnostic reasoning of prognostic and health management system.
  • Keywords
    aircraft power systems; avionics; computerised monitoring; data acquisition; embedded systems; fault diagnosis; fuzzy neural nets; power supplies to apparatus; avionics power supply module design; data acquisition function; detection chip; embedded diagnostic reasoning; engineering requirement; fault diagnosis hardware platform; fuzzy neural network model; health management system; information enhanced fault diagnosis system; intelligent fault diagnosis technology; prognostic; Aerospace electronics; Fault diagnosis; Fuzzy neural networks; Power supplies; Temperature measurement; Temperature sensors; Training; fault diagnosis; fuzzy neural network; information-enhanced; power supply module;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625916
  • Filename
    6625916