Volume 36 Issue 8
Aug.  2010
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Zhang Li, Yuan Haiwen, Lü Hong, et al. Fault diagnosis for independent power-supply system using multi-agent information fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 936-939. (in Chinese)
Citation: Zhang Li, Yuan Haiwen, Lü Hong, et al. Fault diagnosis for independent power-supply system using multi-agent information fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 936-939. (in Chinese)

Fault diagnosis for independent power-supply system using multi-agent information fusion

  • Received Date: 11 Jun 2009
  • Publish Date: 30 Aug 2010
  • The fault diagnosis and prognosis research for Independent power-supply system(IPSS) was an important step to ensure the safety for the complex moving devices system. Current fault diagnosis system problems for IPSS were analyzed. The method of combining multi-sensor information fusion with multi-Agent was put forward to improve the diagnosis reliability and the system expansibility. A fault diagnosis system for IPSS using multi-Agent and information fusion was established based on Agent automation, distribution and collaboration. According to the fault symptom feature, Dempster-Shafer evidential theory was introduced into diagnosis result fusion. The multi-neural network local diagnosis Agent and the Dempster-Shafer evidential reasoning Agent implementation were disserted in detail. Finally, taking an aircraft electric power system as an example, the diagnostic process was simulated. The results indicate that the method can improve the diagnosis reliability.

     

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