Research on System Partition Method for EMUs Based on Analytic Hierarchy Process and Genetic Algorithm

Zhang Kexin

doi:10.13890/j.issn.1000-128x.2017.03.002

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Research on System Partition Method for EMUs Based on Analytic Hierarchy Process and Genetic Algorithm

更新时间：2021-12-13

- Research on System Partition Method for EMUs Based on Analytic Hierarchy Process and Genetic Algorithm
- Electric Drive for Locomotives Issue 3, Pages: 8-13(2017)
- 作者机构：
  
  1. 中国铁道科学研究院铁道科学技术研究发展中心,北京,100081
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2017.03.002
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Zhang Kexin. Research on System Partition Method for EMUs Based on Analytic Hierarchy Process and Genetic Algorithm. [J]. Electric Drive for Locomotives (3):8-13(2017)
DOI：

Zhang Kexin. Research on System Partition Method for EMUs Based on Analytic Hierarchy Process and Genetic Algorithm. [J]. Electric Drive for Locomotives (3):8-13(2017) DOI： 10.13890/j.issn.1000-128x.2017.03.002.

摘要

提出了一种基于模块化理论的系统划分方法，该方法考虑了动车组零部件的功能、使用等基本属性，通过层次分析法明确各零部件的相关关系，得到了综合关系矩阵，建立了系统聚类数学模型。通过种群遗传算法及MATLAB 仿真计算，给出了适用于对动车组进行可靠性分析的系统划分结果，根据敏感度分析验证了该算法的可行性和有效性，可为后续动车组可靠性建模提供依据。

Abstract

A system partition method based on modular theory for EMUs was presented. By considering the basic properties of EMUs components function and application, with the relevant relations definition among components, a comprehensive relation matrix was acquired through analytic hierarchy process, and a mathematical system clustering model was established. Additionally, system partition results applicable to reliability analysis of EMUs were given by population genetic algorithm and MATLAB simulating calculation. The feasibility and effectiveness of this algorithm was verified according to sensitivity analysis, which provided basis for future research.

关键词

动车组系统划分层次分析法种群遗传算法

Keywords

EMUssystem partitionanalytic hierarchy processpopulation genetic algorithm

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