• DocumentCode
    3777956
  • Title

    A fault diagnosis system design for space application

  • Author

    Sun Yuanyuan; Guo Lili; Ma Zhongsong

  • Author_Institution
    Engineering and Technology Center for Space Utilization, Chinese Academy of Sciences, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100094, China
  • Volume
    1
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    8
  • Lastpage
    12
  • Abstract
    With the development of Aerospace Engineering, space application system becomes more and more complex. In Chinese space station in the future, the number of payloads will reach more than one hundred. How to carry on effective management to the numerous and complex payloads, to find and eliminate payload fault in time is an urgent problem to be solved. This paper presents a method for the design of fault diagnosis system for complex payloads. Using task decomposition and integrated fault diagnosis method to solve the fault diagnosis problem of huge and complex system. At the same time, the application of SOM algorithm is discussed, it has certain guiding significance for the diagnosis and follow-up of application.
  • Keywords
    "Payloads","Fault diagnosis","Neurons","Space stations","Space vehicles","Biological neural networks","Aerospace electronics"
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEMI.2015.7494176
  • Filename
    7494176