USING FUZZY SETS AND PARTICLE SWARM OPTIMIZATION MODEL IN AVIONICS FAULT DIAGNOSIS SIMULATION

摘要：

Optimizing the calculation to get the correct fault propagation path with less computation complexity is an important way to improve the detection ability in offline avionics fault prognostic evaluation. In this paper, we descript a fault propagation model based on fuzzy directed graph, introduce a more reasonable searching rule based on Particle Swarm Optimization (PSO), and propose a new fitness function to improve the performance of particle swarm optimization algorithm. The simulation results show that the proposed algorithm has a significant robustness and searching accuracy compared with original approach.

关键词： Artificial Intelligent Simulation Fault Prognosis Fuzzy Sets Prognostics and Health Management (PHM)

作者: D.W.Wang D.R.Chen F.Liu R.T.Cai

作者单位: China Aviation Radio Electronics Research Institute, Shanghai. 200233, China Army Aviation Representative Office Resident in Shanghai Region for General staff, PLA, Shanghai. 20 School of Physics, Optics, Electronics Science and Technology, Fujian Normal University, Fuzhou. 350

会议类型: 国际会议

会议名称: 2012 International Conference on System Simulation(2012年国际系统仿真学术会议)

会议地点: 上海

会议语种:英文

页码: 316-319

在线出版日期: 2012-04-06（万方平台首次上网日期，不代表论文的发表时间）