基于MatLab的列车安全评估仿真平台  

Train Safety Assessment Simulation Platform Based on Mat Lab

作　　者：李松蔚[1] 苟先太[1] 金炜东[1] 李晓[1] 

机构地区：[1]西南交通大学,四川成都610031

出　　处：《计算机仿真》2015年第2期183-187,共5页Computer Simulation

基　　金：国家自然科学基金重点项目(61134002)

摘　　要：以高速列车行走部的运行状态为核心,通过计算机建立以数据管理,状态反演和安全预警为目的高速列车安全性态评估仿真平台。运用Simpack对高速列车的各种故障状态进行实时仿真,并通过Mat Lab对海量数据以小波熵和经验模态分解(EEMD能量距)的方法对高速列车运行过程的故障进行提取特征和分析,以基于向量基和LVQ神经网络的分离器对故障进行识别,从而完成对列车高速列车故障的反演和提前预警。实验表明,上述实验平台能准确地对列车故障状态进行识别,达到安全预警的目的。According to the high - speed trains＇ wheel - rail unit, we established a high speed train security state assessment simulation platform for the purposes of data management, inverting status and early warning. Using Sin- pack, various fault states for high speed train were simulated in real - time. Using MatLab, massive amounts of data characteristics were abstracted and analyzed through wavelet entropy and EEMD, and hitches were recognized through the segregator based on support vector and LVQ nerve net, in order to achieve inverting hitches and early warning for high - speed train. Experimental results show that the simulation platform can recognize high speed train＇s hitches by rule and line and realize the purpose of safety warning.

关 键 词：仿真平台 小波熵 经验模态分解 支持向量基 反演识别 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]