Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (3): 672-676.doi: 10.3969/j.issn.1001-506X.2013.03.39

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Fault mode identification method based on evolutionary theory

WANG Jiu-chong 1,2, FAN Xiao-guang1, CHU Wen-kui1, CONG Wei1, LI Jian-xun1   

  1. 1. College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi’an 710038, China;
    2. Unit 93868 of the PLA, Yinchuan 750025, China
  • Online:2013-03-20 Published:2010-01-03

Abstract:

Fault mode identification based on characteristic parameter is a problem of combinatorial optimization. Based on an analysis of the evolutionary method, the fault mode identification model of the avionics system is founded, and an improved combinatorial optimization method fusing particle swarm optimization (PSO) and the orthogonal genetic arithmetic operator (OGAO) is proposed. The advantages of this method can be drawn, the local optimum can be avoided, the combinatorial optimization problem of the discrete variable can be disposed better, which is advantageous to the improvement of the speed of convergence and solution accuracy. The experiment result on a power module using in the airborne integrated data acquisition device shows. the correctness and superiority of the proposed method.

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