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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Autor*in:	Dan Zhang [verfasserIn] Yinghong Wen [verfasserIn] Jinbao Zhang [verfasserIn] Jianjun Xiao [verfasserIn] Yali Song [verfasserIn] Qi Geng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	BTM electromagnetic susceptibility modular system-level modeling

Übergeordnetes Werk:	In: Applied Sciences - MDPI AG, 2012, 10(2020), 21, p 7944
Übergeordnetes Werk:	volume:10 ; year:2020 ; number:21, p 7944

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/app10217944

Katalog-ID:	DOAJ009010009

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spelling	10.3390/app10217944 doi (DE-627)DOAJ009010009 (DE-599)DOAJcc371be9a5fe41d099a1ae3e986cf09d DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Dan Zhang verfasserin aut Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. BTM electromagnetic susceptibility modular system-level modeling Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Yinghong Wen verfasserin aut Jinbao Zhang verfasserin aut Jianjun Xiao verfasserin aut Yali Song verfasserin aut Qi Geng verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 21, p 7944 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:21, p 7944 https://doi.org/10.3390/app10217944 kostenfrei https://doaj.org/article/cc371be9a5fe41d099a1ae3e986cf09d kostenfrei https://www.mdpi.com/2076-3417/10/21/7944 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 21, p 7944
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allfieldsGer	10.3390/app10217944 doi (DE-627)DOAJ009010009 (DE-599)DOAJcc371be9a5fe41d099a1ae3e986cf09d DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Dan Zhang verfasserin aut Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. BTM electromagnetic susceptibility modular system-level modeling Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Yinghong Wen verfasserin aut Jinbao Zhang verfasserin aut Jianjun Xiao verfasserin aut Yali Song verfasserin aut Qi Geng verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 21, p 7944 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:21, p 7944 https://doi.org/10.3390/app10217944 kostenfrei https://doaj.org/article/cc371be9a5fe41d099a1ae3e986cf09d kostenfrei https://www.mdpi.com/2076-3417/10/21/7944 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 21, p 7944
allfieldsSound	10.3390/app10217944 doi (DE-627)DOAJ009010009 (DE-599)DOAJcc371be9a5fe41d099a1ae3e986cf09d DE-627 ger DE-627 rakwb eng TA1-2040 QH301-705.5 QC1-999 QD1-999 Dan Zhang verfasserin aut Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. BTM electromagnetic susceptibility modular system-level modeling Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry Yinghong Wen verfasserin aut Jinbao Zhang verfasserin aut Jianjun Xiao verfasserin aut Yali Song verfasserin aut Qi Geng verfasserin aut In Applied Sciences MDPI AG, 2012 10(2020), 21, p 7944 (DE-627)737287640 (DE-600)2704225-X 20763417 nnns volume:10 year:2020 number:21, p 7944 https://doi.org/10.3390/app10217944 kostenfrei https://doaj.org/article/cc371be9a5fe41d099a1ae3e986cf09d kostenfrei https://www.mdpi.com/2076-3417/10/21/7944 kostenfrei https://doaj.org/toc/2076-3417 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 21, p 7944
language	English
source	In Applied Sciences 10(2020), 21, p 7944 volume:10 year:2020 number:21, p 7944
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topic_facet	BTM electromagnetic susceptibility modular system-level modeling Technology T Engineering (General). Civil engineering (General) Biology (General) Physics Chemistry
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container_title	Applied Sciences
authorswithroles_txt_mv	Dan Zhang @@aut@@ Yinghong Wen @@aut@@ Jinbao Zhang @@aut@@ Jianjun Xiao @@aut@@ Yali Song @@aut@@ Qi Geng @@aut@@
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callnumber-first	T - Technology
author	Dan Zhang
spellingShingle	Dan Zhang misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc BTM misc electromagnetic susceptibility misc modular system-level modeling misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
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topic_title	TA1-2040 QH301-705.5 QC1-999 QD1-999 Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System BTM electromagnetic susceptibility modular system-level modeling
topic	misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc BTM misc electromagnetic susceptibility misc modular system-level modeling misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry
topic_unstemmed	misc TA1-2040 misc QH301-705.5 misc QC1-999 misc QD1-999 misc BTM misc electromagnetic susceptibility misc modular system-level modeling misc Technology misc T misc Engineering (General). Civil engineering (General) misc Biology (General) misc Physics misc Chemistry
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title	Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
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author_browse	Dan Zhang Yinghong Wen Jinbao Zhang Jianjun Xiao Yali Song Qi Geng
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title_sort	modular system-level modeling method for the susceptibility prediction of balise information transmission system
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title_auth	Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System
url	https://doi.org/10.3390/app10217944 https://doaj.org/article/cc371be9a5fe41d099a1ae3e986cf09d https://www.mdpi.com/2076-3417/10/21/7944 https://doaj.org/toc/2076-3417
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Modular System-Level Modeling Method for the Susceptibility Prediction of Balise Information Transmission System

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