吉林大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (1): 281-289.doi: 10.13229/j.cnki.jdxbgxb20161343

• 论文 • 上一篇    下一篇

基于贝叶斯网络的电子节气门电磁敏感度评估

孙晓颖, 王震, 杨锦鹏, 扈泽正, 陈建   

  1. 吉林大学 通信工程学院,长春 130022
  • 收稿日期:2016-10-10 出版日期:2018-02-26 发布日期:2018-02-26
  • 通讯作者: 陈建(1977-),男,副教授,博士. 研究方向:汽车电磁兼容,信号处理. E-mail: chenjian@jlu.edu.cn
  • 作者简介:孙晓颖(1969-),男,教授,博士生导师. 研究方向:汽车电磁兼容,无线定位技术及应用.E-mail: sunxy@jlu.edu.cn
  • 基金资助:
    装备预先研究项目(30105030302).

Electromagnetic susceptibility assessment of electronic throttle based on Bayesian network

SUN Xiao-ying, WANG Zhen, YANG Jin-peng, HU Ze-zheng, CHEN Jian   

  1. College of Communication and Engineering, Jilin University, Changchun 130022, China
  • Received:2016-10-10 Online:2018-02-26 Published:2018-02-26

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摘要： 针对电子节气门电磁脉冲效应试验中诸多不确定性导致有限样本下评估不准确的问题,研究了基于贝叶斯网络(BN)的敏感度评估方法,通过从概率角度考虑所有不确定参量来提高评估准确性。首先,建立节气门系统故障树(FT)模型,采用电磁拓扑(EMT)分析系统电磁耦合途径。然后,建立融合故障树和电磁拓扑的电磁敏感度贝叶斯网络评估模型,并给出模型各节点概率计算方法。最后,以高空电磁脉冲(HEMP)为例描述了电子节气门电磁敏感度评估模型输入数据获取方法和模型计算过程,验证了模型的有效性。

关键词: 通信技术, 系统评估与可行性分析, 有意电磁干扰, 高空电磁脉冲, 发动机电子节气门, 敏感度评估, 贝叶斯网络

Abstract: A modeling and parameter determining method is proposed based on Bayesian Networks (BN) for electronic throttle susceptibility assessment of Intentional Electromagnetic Interference (IEMI). This method can remedy the deficiencies of susceptibility assessment based on effect test. First, according to the structure of electronic throttle control system, the Fault Tree (FT) model is built. The coupling of the system with IEMI is analyzed using Electromagnetic Topology (EMT). Then, the BN assessment model is built to integrate the FT and EMT, and the probability acquiring of BN nodes is discussed. As data input of assessment model, the susceptibilities of components are tested with pulse voltage injection, and the Electromagnetic Stress (EMS) of the components is simulated using CST CABLE STUDIO. Finally, the electronic throttle susceptibility assessment against High-altitude Electromagnetic Pulse (HEMP) is taken as an example to illustrate the modeling and probability calculation process, which verify the effectiveness of the BN based assessment model.

Key words: communication technology, systematic evaluation and feasibility analysis, intentional electro-magnetic interference (IEMI), high-altitude electro-magnetic pulse (HEMP), engine electronic throttle, susceptibility assessment, Bayesian networks

中图分类号: 

  • N945.17
[1] 李慧梅,唐彦峰,刘祥凯,等. 电磁脉冲武器对车辆装备的损伤效应研究[J]. 装备环境工程,2010,7(3):31-34.
Li Hui-mei, Tang Yan-feng, Liu Xiang-kai, et al.Study of destructive effects of electromagnetic pulse weapon on vehicle[J]. Equipment Environment Engineering, 2010, 7(3):31-34.
[2] Nitsch D, Camp M, Sabath F, et al.Susceptibility of some electronic equipment to HPEM threats[J]. IEEE Transactions on Electromagnetic Compatibility, 2004, 46(3):380-389.
[3] Bäckström M G, Lövstrand K G.Susceptibility of electronic systems to high-power microwaves: summary of test experience[J]. IEEE Transactions on Electromagnetic Compatibility, 2004, 46(3):396-403.
[4] 曾德龙. 汽车电子设备电磁损伤机理及损伤阈值研究[D]. 长春:吉林大学通信工程学院,2012.
Zeng De-long.Research on electromagnetic damage mechanisms and threshold values of electricalequipments on vehicle [D].Changchun: College of Communication and Engineering,Jilin University, 2012.
[5] 孟凡宝. 高功率超宽带电磁脉冲技术[M]. 北京:国防工业出版社,2011.
[6] Mensing R W, King R J, Cabayan H S.A method for estimating the susceptibility of electronic systems to HPM (high power microwave)[R].NASA STI/RECON Techinical Report,1988.
[7] 梁喆. 基于故障树分析车载系统电磁兼容诊断方法研究[D]. 西安:西安电子科技大学机电工程学院, 2012.
Liang Zhe.Research on automotive system electromagnetic compatibility diagnosis based on fault tree analysis method[D].Xi?an: School of Mechanic-Electronic Engineering Xidian University, 2012.
[8] Genender E, Garbe H, Sabath F.Probabilistic risk analysis technique of intentional electromagnetic interference at system level[J]. IEEE Transactions on Electromagnetic Compatibility, 2014, 56(1):200-207.
[9] 刘钰,韩峰,陆希成,等.电子系统电磁脉冲易损性评估的分层贝叶斯网络模型[J]. 电子学报,2016,44(11): 2695-2703.
Liu Yu, Han Feng, Lu Xi-cheng, et al.EMP susceptibility modeling and assessment of electronic system based on hierarchical Bayesian networks[J]. Acta Electronica Sinica, 2016, 44(11): 2695-2703
[10] Mao C, Canavero F.System-level vulnerability assessment for EME: from fault tree analysis to Bayesian networks-part I: methodology framework[J]. IEEE Transactions on Electromagnetic Compatibility, 2016, 58(1):180-187.
[11] IEC TR 61000-1-5,2004.Electromagnetic compatibility (EMC)-part 1-5:general-high power electromagnetic (HPEM) effects on civil systems[S].
[12] 王建国, 刘国治, 周金山. 微波孔缝线性耦合函数研究[J]. 强激光与粒子束, 2003, 15(11):1093-1099.
Wang Jian-guo, Liu Guo-zhi, Zhou Jin-shan.Investigations on function for linear coupling of microwaves into slots[J]. High Power Laser and Particle Beams, 2003, 15(11):1093-1099.
[13] 王建国. 高空核爆炸效应参数手册[M].北京:原子能出版社, 2010.
[14] Lovetri J, Costache G I.An electromagnetic interaction modeling advisor[J]. IEEE Transactions on Electromagnetic Compatibility, 1991, 33(3):241-251.
[15] 蔡金良,孙晓颖,赵晓晖. 考虑复杂金属设备的车辆发动机舱电磁环境效应分析[J]. 吉林大学学报:工学版,2016,46(4):1360-1367.
Cai Jin-liang, Sun Xiao-ying, Zhao Xiao-hui.Electromagnetic environment effects for automotive engine block with complex metallic equipments[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(4):1360-1367.
[16] 王迪. HEMP环境下车辆电磁屏蔽技术的防护效能研究[D]. 长春:吉林大学通信工程学院, 2015.
Wang Di.Research on protection effectiveness of vehicle electromagnetic shielding techniques in HEMP environment[D].Changchun: College of Communication and Engineering,Jilin University, 2015.
[17] Camp M,Gerth H, Garbe H, et al.Predicting the breakdown behavior of microcontrollers under EMP/UWB impact using a statistical analysis[J]. IEEE Transactions on Electromagnetic Compatibility, 2004, 46(3):368-379.
[18] IEC 61000-4-4,2012. EMC: Testing and measurement techniques-electrical fast transient/burst immunity test[S].
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