铁路货运车辆运行状态安全评估方法及应用研究  

Research on Safety Evaluation of Rail Freight Vehicle Operating Status & Its Application

作　　者：王艳辉[1,2] 孙倩[1,2] 李静[2] 贾利民[1] 蔡国强[1] 

机构地区：[1]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [2]北京交通大学交通运输学院,北京100044

出　　处：《铁道学报》2011年第4期38-45,共8页Journal of the China Railway Society

基　　金：轨道交通控制与安全国家重点实验室研究课题(RCS2008ZZ002)

摘　　要：铁路货运车辆运行状态安全评估问题,对预防货物列车行车事故、减少轨道车辆零部件损伤具有重要作用,对于铁路安全运营管理有着明确的指导意义。本文针对目前铁路货运车辆运行状态研究存在的不完整性问题,采用自然环境与设备运营相结合的综合车辆状态评估方法,建立面向安全的铁路货运车辆运行状态评估指标体系,并提出了一种由三部分组成的、串形结构的改进BP神经网络,更好地解决了这类数据量庞大的复杂系统评估问题。本文以沪宁线为背景进行了评估实例研究,取得了准确性较高的评估结果。Safety evaluation of rail freight vehicle running status has great effect on preventing traffic accidents of freight trains and reducing abrasion of vehicle components.It plays an important role in rail operation and management.Based on the non-integrity of current research of rail freight vehicle running status,this paper puts forward a comprehensive evaluation approach combining the natural environment and equipment operation,establishes a safety indice system for evaluation of freight vehicle running status and proposes a promoted BP neural network which consists of three parts and has a string-shaped structure.The improved algorithm is better to evaluate such complex systems with huge volumes of data.Taking the Shanghai-Nanjing Railway as an example,good evaluating results are obtained.

关 键 词：货车运行状态 安全评估 改进BP神经网络 

分 类 号：U270[机械工程—车辆工程]