文章基本信息

标题：Study on the Real-Time Security Evaluation for the Train Service Status Using Safety Region Estimation
本地全文：下载
作者：Guiling Liao ; Yong Qin ; Xiaoqing Cheng 等
期刊名称：Journal of Intelligent Learning Systems and Applications
印刷版ISSN：2150-8402
电子版ISSN：2150-8410
出版年度：2013
卷号：05
期号：04
页码：221-226
DOI：10.4236/jilsa.2013.54025
语种：English
出版社：Scientific Research Publishing
摘要：For the important issues of security service of rail vehicles, the online quantitative security assessment method of the service status of rail vehicles and the key equipments is urgently needed, so the method based on safety region was proposed in the paper. At first, the formal description and definition of the safety region were given for railway engineering practice. And for the research objects which their models were known, the safety region estimation method of system stability analysis based on Lyapunov exponent was proposed; and for the research objects which their models were unknown, the data-driven safety region estimation method was presented. The safety region boundary equations of different objects can be obtained by these two different approaches. At last, by real-time analysis of the location relationship and generalized distance between the equipment service status point and safety region boundary, the online safety assessment model of key equipments can be established. This method can provide a theoretical basis for online safety evaluation of trains operation; furthermore, it can provide support for real-time monitoring, early warning and systematic maintenance of rail vehicles based on the idea of active security.a
关键词：Safety Region; Service Status of Rail Vehicles; Security Assessment; Lyapunov Exponent; Data-Driven