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动车组牵引传动系统健康状态评估

赵峰 李渊琴 陈鲜

铁道科学与工程学报2018,Vol.15Issue(6):1391-1398,8.
铁道科学与工程学报2018,Vol.15Issue(6):1391-1398,8.

动车组牵引传动系统健康状态评估

Health assessment of EMU traction drive system

赵峰 1李渊琴 2陈鲜1

作者信息

  • 1. 兰州交通大学 自动化与电气工程学院,甘肃 兰州730070
  • 2. 兰州交通大学 光电技术与智能控制教育部重点实验室,甘肃 兰州730070
  • 折叠

摘要

Abstract

Health status assessment of electric multiple units (EMU) traction drive system is helpful to improve the safety and reliability of the EMU in operation. By taking EMU traction drive system as the concrete research object, a method based on fusion of fuzzy grey clustering and combination weight was proposed to evaluate the health status of the system in this paper. First of all, indexes' combination weights of each component of the traction drive system were calculated by the combination weighting method. Secondly, the fuzzy evaluation matrix of component layer's health status assessment was established using clustering coefficient of each component. Then, according to the matrix, the combination weighting method was used to calculate component layer's combination weight. Finally, the fuzzy comprehensive evaluation method was utilized to evaluate traction drive system's integral health status with a traction drive system of CRH3 EMU as an example. The results show that the proposed method combines the layered analysis model of traction drive system, and intuitive information on the health status of each index, key components and traction drive system can be obtained. Meanwhile, the health status assessment of CRH3 EMU traction drive system can also be carried out effectively.

关键词

动车组/牵引传动系统/模糊灰色聚类/组合赋权/健康状态评估

Key words

EMU/traction drive system/fuzzy gray clustering/combination weighting/health status assessment

分类

交通工程

引用本文复制引用

赵峰,李渊琴,陈鲜..动车组牵引传动系统健康状态评估[J].铁道科学与工程学报,2018,15(6):1391-1398,8.

基金项目

光电技术与智能控制教育部重点实验室开放课题(KFKT2016-6) (KFKT2016-6)

铁道科学与工程学报

OA北大核心CSCDCSTPCD

1672-7029

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