Abstract

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

Highlights

  • Rail transit vehicles, whose real-time status of security service will affect the safety and efficiency of the entire rail transport system directly, are primary tools and direct carriers for the rail transportation

  • This paper briefly introduces the research status of the Safety Region theory and method, gives the basic description of the safety region in railway transportation and puts forward basic framework and general idea for safety assessment of rail vehicles service status

  • In the rail transportation, similar research results are rarely seen except the complete framework of safety region estimation method proposed by the author

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Summary

Introduction

Rail transit vehicles, whose real-time status of security service will affect the safety and efficiency of the entire rail transport system directly, are primary tools and direct carriers for the rail transportation. For rail vehicles and equipments, the pluralistic, massive and nonlinear real-time service status data can be quantified to analyze and evaluate safety status through the Safety Region. This theory provides a new method for the development of online detection, early warning and stateoverhaul mode of rail vehicles. The two specific application methods including models and data driven are proposed

Research Situation
Basic Description of Safety Region
Estimation of Safety Region for Rail Vehicles’ Service Condition
Specific Method
Safety Region Estimation Methods Based on Data Classification Using SVM
The Overall Framework of This Method
Conclusions
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