Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System

For high-speed train, balise transmission module (BTM) system is easily interfered with by other equipment of the train. This could cause the train to malfunction. Studying the electromagnetic susceptibility (EMS) of the BTM is very important for the performance and efficiency of the train. In this...

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Main Authors: Dan Zhang, Yinghong Wen, Jinbao Zhang, Jianjun Xiao, Yali Song, Qi Geng
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
BTM
Online Access:https://www.mdpi.com/2076-3417/10/21/7944
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spelling doaj-cc371be9a5fe41d099a1ae3e986cf09d2020-11-25T03:57:09ZengMDPI AGApplied Sciences2076-34172020-11-01107944794410.3390/app10217944Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission SystemDan Zhang0Yinghong Wen1Jinbao Zhang2Jianjun Xiao3Yali Song4Qi Geng5Electromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaElectromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaElectromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaElectromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaElectromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaElectromagnetic Compatibility Research Institution, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaFor high-speed train, balise transmission module (BTM) system is easily interfered with by other equipment of the train. This could cause the train to malfunction. Studying the electromagnetic susceptibility (EMS) of the BTM is very important for the performance and efficiency of the train. In this paper, a modular, system-level modeling method is proposed to predict the EMS of BTM systems. Based on object-oriented technology and a modular method, the BTM system is disassembled into several modules according to the electromagnetic characteristics of the whole system rather than the physical structure. All the modules are mutually independent, and the total EMS could be evaluated by the output of them. The modules of three key elements of electromagnetic compatibility (EMC), i.e., sources, coupling paths, and sensitive equipment, are established by the theoretical method, full-wave simulation method, and black-box test method, respectively, and put into different layers. According to the functions of the BTM system, the EMS of BTM is given by analyzing the interrelation of input and output of modules. Results of the proposed model were verified by measurement.https://www.mdpi.com/2076-3417/10/21/7944BTMelectromagnetic susceptibilitymodular system-level modeling
collection DOAJ
language English
format Article
sources DOAJ
author Dan Zhang
Yinghong Wen
Jinbao Zhang
Jianjun Xiao
Yali Song
Qi Geng
spellingShingle Dan Zhang
Yinghong Wen
Jinbao Zhang
Jianjun Xiao
Yali Song
Qi Geng
Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
Applied Sciences
BTM
electromagnetic susceptibility
modular system-level modeling
author_facet Dan Zhang
Yinghong Wen
Jinbao Zhang
Jianjun Xiao
Yali Song
Qi Geng
author_sort Dan Zhang
title Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
title_short Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
title_full Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
title_fullStr Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
title_full_unstemmed Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
title_sort modular system-level modeling method for the susceptibility prediction of balise information transmission system
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-11-01
description For high-speed train, balise transmission module (BTM) system is easily interfered with by other equipment of the train. This could cause the train to malfunction. Studying the electromagnetic susceptibility (EMS) of the BTM is very important for the performance and efficiency of the train. In this paper, a modular, system-level modeling method is proposed to predict the EMS of BTM systems. Based on object-oriented technology and a modular method, the BTM system is disassembled into several modules according to the electromagnetic characteristics of the whole system rather than the physical structure. All the modules are mutually independent, and the total EMS could be evaluated by the output of them. The modules of three key elements of electromagnetic compatibility (EMC), i.e., sources, coupling paths, and sensitive equipment, are established by the theoretical method, full-wave simulation method, and black-box test method, respectively, and put into different layers. According to the functions of the BTM system, the EMS of BTM is given by analyzing the interrelation of input and output of modules. Results of the proposed model were verified by measurement.
topic BTM
electromagnetic susceptibility
modular system-level modeling
url https://www.mdpi.com/2076-3417/10/21/7944
work_keys_str_mv AT danzhang modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
AT yinghongwen modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
AT jinbaozhang modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
AT jianjunxiao modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
AT yalisong modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
AT qigeng modularsystemlevelmodelingmethodforthesusceptibilitypredictionofbaliseinformationtransmissionsystem
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