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高速列车智能化故障诊断方法
引用本文:田静宜,杨业,杨雪峰,郭阳. 高速列车智能化故障诊断方法[J]. 化工自动化及仪表, 2013, 40(4): 531-533
作者姓名:田静宜  杨业  杨雪峰  郭阳
作者单位:1. 河北联合大学轻工学院,河北唐山,063000
2. 唐山轨道客车有限责任公司,河北唐山,063035
摘    要:介绍基于粗糙集理论的高速列车智能化故障诊断方法,以动车制动系统为例,分析该方法的可行性和实现步骤.该故障诊断方法通过优化制动系统的特征值,来提高故障诊断的效率和准确率.

关 键 词:故障诊断  CRH3动车组  粗糙集理论  制动系统特征值  优化

Intelligent Fault Diagnosis Method for High-speed Trains
TIAN Jing-yi , YANG Ye , YANG Xue-feng , GUO Yang. Intelligent Fault Diagnosis Method for High-speed Trains[J]. Control and Instruments In Chemical Industry, 2013, 40(4): 531-533
Authors:TIAN Jing-yi    YANG Ye    YANG Xue-feng    GUO Yang
Affiliation:1 ( 1. Qinggong College, Hebei United University, Tangshang 063000, China ; 2. Tangshang Railway Vehicle Co. , Ltd. , Tangshang 063035, China)
Abstract:The rough set theory-based intelligent fault diagnosis method for high-speed trains were introduced;taking braking system of the high-speed trains for example,both feasibility and implementation steps of this method were analyzed.Optimizing characteristic value of the train' s braking system can improve both efficiency and accuracy of the fault diagnosis system.
Keywords:fault diagnosis  CRH3 EMU  rough set theory  characteristic value for braking system  optimization
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