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

机译：模糊集和粒子群优化模型在航空故障诊断仿真中的应用

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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.

机译：优化计算以减少计算复杂度以获得正确的故障传播路径，是提高离线航空电子故障预后评估能力的重要途径。本文描述了一种基于模糊有向图的故障传播模型，介绍了一种基于粒子群优化算法的更合理的搜索规则，并提出了一种新的适应度函数来提高粒子群优化算法的性能。仿真结果表明，与原算法相比，该算法具有较强的鲁棒性和搜索精度。

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来源
《2012 international conference on system simulation》|2012年|316-319|共4页
会议地点 Shanghai(CN)
作者
D.W.Wang; D.R.Chen; F.Liu; R.T.Cai;
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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. 200233, China;

China Aviation Radio Electronics Research Institute, Shanghai. 200233, China;

School of Physics, Optics, Electronics Science and Technology, Fujian Normal University, Fuzhou. 350108, China;

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原文格式 PDF
正文语种 eng
中图分类计算机仿真;
关键词
Artificial Intelligent Simulation; Fault Prognosis; Fuzzy Sets; Prognostics and Health Management (PHM);

机译：人工智能仿真故障预测;模糊集;预测与健康管理（PHM）;

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专利

1. Framework for Multiple-Fault Diagnosis Based on Multiple Fault Simulation Using Particle Swarm Optimization [J] . IEEE transactions on very large scale integration (VLSI) systems . 2014,第3期

机译：基于粒子群算法的多故障仿真多故障诊断框架
2. ADAPTIVE FAULT DIAGNOSIS OF MOTORS USING COMPREHENSIVE LEARNING PARTICLE SWARM OPTIMIZER WITH FUZZY PETRI NET [J] . Cheng Xuezhen, Wang Changan, Li Jiming, Computing and informatics . 2020,第1a2期

机译：采用综合学习粒子群优化器，采用模糊Petri网的汽车自适应故障诊断
3. Adaptive Fault Diagnosis of Motors Using Comprehensive Learning Particle Swarm Optimizer with Fuzzy Petri Net [J] . Cheng Xuezhen, Wang Changan, Li Jiming, Computing and informatics . 2020,第1a2期

机译：采用综合学习粒子群优化器，采用模糊Petri网的汽车自适应故障诊断
4. USING FUZZY SETS AND PARTICLE SWARM OPTIMIZATION MODEL IN AVIONICS FAULT DIAGNOSIS SIMULATION [C] . D.W.Wang, D.R.Chen, F.Liu, International conference on system simulation . 2012

机译：在航空电子故障诊断模拟中使用模糊集和粒子群优化模型
5. A particle swarm optimization based multi-agent stochastic evacuation simulation model. [D] . Xue, Zhendan. 2009

机译：基于粒子群优化的多主体随机疏散仿真模型。
6. Inflation rate modeling: Adaptive neuro-fuzzy inference system approach and particle swarm optimization algorithm (ANFIS-PSO) [O] . Fateme Nazari Robati, Saeed Iranmanesh 2020

机译：通货膨胀率建模：自适应神经模糊推理系统方法和粒子群优化算法（ANFIS-PSO）
7. Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization [O] . Wu QI, Law R 2010

机译：基于模糊鲁棒小波支持向量分类器和自适应高斯粒子群算法的复杂系统故障诊断
8. Contribution of qualitative analysis and fuzzy sets to industrial process fault diagnosis: application to the Diapason project [R] . Montmain, J. , Leyval, L. 1994

机译：定性分析和模糊集对工业过程故障诊断的贡献：在Diapason项目中的应用

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

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