Data-Driven Failure Characteristics and Reliability Analysis for Train Control On-Board Subsystem

Bin Chen,Baigen Cai,Jian Wang,Wei Shangguan

doi:10.1109/access.2019.2938851

Abstract

The train control on-board subsystem (TC-OBS) plays an important role in the safety and efficiency of the high-speed train’s operation. Therefore, there is an urgent demand for the analysis of failure characteristics and the reliability of TC-OBS. In this paper, a specific data model is built for the TC-OBS operational and failure data based on data cubes. This model analyzed the failure distribution characteristics of TC-OBS from the combined angles of System Identification, Time and Operation Attribute through the operations of data cubes. Thus, the representative units and systems can be the research objects of the reliability evaluation. With these representative units and systems, this paper uses Bayesian estimation combined with Markov Chain Monte Carlo (MCMC) to estimate the parameters of the time between failures (TBF) distribution model and the reliability is analyzed. Simulation results show that the data model based on data cubes can offer an efficient and convenient method to analyze the failure characteristics and reliability of TC-OBS.

Highlights

The rapid development of high-speed railways offers a great development space for the economy and for people’s livelihoods
The failure characteristics of the train control on-board subsystem (TC-OBS) by different dimensions are analyzed by applying the dice operation of the data cube, and the representative units and systems are selected to evaluate the reliability of the TC-OBS
The data is processed to obtain the time between failures (TBF) for these selected data, and their histogram and kernel density estimation are shown in Figure 11, which indicates that the TBF roughly follows log-normal or Weibull distribution

Summary

INTRODUCTION

The rapid development of high-speed railways offers a great development space for the economy and for people’s livelihoods. The application of systems’ operational data has been studied widely by many scholars in the railway field, and they usually focus on the fault diagnosis, failure prediction and reliability evaluation of train control systems. DATA MODEL FOR TRAIN CONTROL ON-BOARD SUBSYSTEM we build a specific model for the operational data of the TC-OBS based on the data cube to analyze the failure characteristics and reliability of the TC-OBS. The failure characteristics of the TC-OBS by different dimensions are analyzed by applying the dice operation of the data cube, and the representative units and systems are selected to evaluate the reliability of the TC-OBS.

TSG and VC type failures occurred only in a small number

Findings

CONCLUSION