高速列车信息控制系统的故障诊断技术

周东华; 纪洪泉; 何潇

doi:10.16383/j.aas.2018.c170392

高速列车信息控制系统的故障诊断技术

doi: 10.16383/j.aas.2018.c170392

周东华^1,2,3, ,,
纪洪泉^1,,
何潇^2,3,

1.
山东科技大学电气与自动化工程学院青岛 266590
2.
清华大学自动化系北京 100084
3.
北京信息科学与技术国家研究中心北京 100084

基金项目:

国家自然科学基金 61473163

山东省泰山学者项目研究基金 LZB2015-162

国家自然科学基金 61522309

国家自然科学基金 61490701

国家自然科学基金 61751307

详细信息

作者简介:
纪洪泉山东科技大学师资博士后.2018年在清华大学获博士学位.主要研究方向为统计过程监控, 微小故障诊断.E-mail:jihongquansd@126.com

何潇清华大学自动化系副教授.2010年在清华大学获博士学位.主要研究方向为机器人的群智能自主控制, 高速列车信息控制系统的故障诊断.E-mail:hexiao@tsinghua.edu.cn

通讯作者:
周东华山东科技大学和清华大学教授.主要研究方向为动态系统的故障诊断与容错控制, 故障预测与最优维护技术.本文通信作者.E-mail:zdh@mail.tsinghua.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2017-07-15
- 录用日期: 2017-11-06
- 刊出日期: 2018-07-20

Fault Diagnosis Techniques for the Information Control System of High-speed Trains

ZHOU Dong-Hua^{1,2,3
, ,},
JI Hong-Quan^1
,,
HE Xiao^{2,3
,}

1.
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590
2.
Department of Automation, Tsinghua University, Beijing 100084
3.
Beijing National Research Center for Information Science and Technology(BNRist), Beijing 100084

Funds:

National Natural Science Foundation of China 61473163

Research Fund for the Taishan Scholar Project of Shandong Province of China LZB2015-162

National Natural Science Foundation of China 61522309

National Natural Science Foundation of China 61490701

National Natural Science Foundation of China 61751307

More Information

Author Bio:
Postdoctoral fellow at Shandong University of Science and Technology. He received his Ph. D. degree from Tsinghua University in 2018. His research interest covers statistical process monitoring and incipient fault diagnosis

Associate professor in the Department of Automation, Tsinghua University. He received his Ph. D. degree from Tsinghua University in 2010. His research interest covers intelligent autonomous control for robot swarms, and fault diagnosis of the high-speed train information control system

Corresponding author: ZHOU Dong-Hua Professor at Shandong University of Science and Technology and Tsinghua University. His research interest covers fault diagnosis and tolerant control, fault prediction, and optimal maintenance. Corresponding author of this paper

摘要

摘要: 介绍高速列车故障诊断的研究意义，特别关注高速列车信息控制系统的故障诊断研究工作，给出高速列车信息控制系统的一般性定义.高速列车信息控制系统主要包括牵引传动控制系统、制动控制系统、列车运行控制系统和网络系统.针对每一个子系统，分别阐述其故障诊断技术的研究现状，简要分析相应故障诊断技术的思想与优劣特点.最后探讨高速列车故障诊断研究中亟待解决的问题以及未来可能的研究方向.
- 高速列车 /
- 信息控制系统 /
- 故障诊断 /
- 牵引系统 /
- 制动系统
Abstract: The research significance of fault diagnosis for high-speed trains is introduced, and special attention is paid to the fault diagnosis of the high-speed train information control system. A general definition of the information control system is provided. Four subsystems are included, that is, traction drive system, brake control system, train control system, and network system. For each subsystem, the research status of fault diagnosis techniques is reviewed. The basic ideas, advantages, and disadvantages for these fault diagnosis techniques are also briefly discussed. Finally, several challenging problems and promising research directions are pointed out.
- High-speed train /
- information control system /
- fault diagnosis /
- traction system /
- braking system
注释:

1) 本文责任编委倪茂林

HTML全文

图 1 高速列车安全事故

Fig. 1 High-speed train accidents

下载: 全尺寸图片幻灯片

图 2 高速列车制动试验台^[69]

Fig. 2 High-speed train brake test bench^[69]

下载: 全尺寸图片幻灯片

参考文献(101)

[1]	Zheng S Q, Kahn M E. China's bullet trains facilitate market integration and mitigate the cost of megacity growth. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(14):E1248-E1253 doi: 10.1073/pnas.1209247110
[2]	彭其渊, 李建光, 杨宇翔, 文超.高速铁路建设对我国铁路运输的影响.西南交通大学学报, 2016, 51(3):525-533 doi: 10.11821/dlxb201412009 Peng Qi-Yuan, Li Jian-Guang, Yang Yu-Xiang, Wen Chao. Influences of high-speed railway construction on railway transportation of China. Journal of Southwest Jiaotong University, 2016, 51(3):525-533 doi: 10.11821/dlxb201412009
[3]	360个人图书馆. 1998年德国高铁车祸与2005年日本列车出轨[Online], http://www.360doc.com/content/11/0725/18/2950524_135793573.shtml, 2017年11月12日 The 360doc. 1998 German high-speed rail car accident and 2005 Japanese railway accident[Online], available: http://www.360doc.com/content/11/0725/18/2950524_135793573.shtml, November 12, 2017
[4]	新浪图片. 航拍动车追尾事故现场[Online], http://slide.news.sina.com.cn/c/slide_1_815_18359.html#p=10, 2017年11月12日 The Sina Photo. High-speed train rear-end scene[Online], available:http://slide.news.sina.com.cn/c/slide_1_815_18359.html#p=10, November 12, 2017
[5]	Fan Y X, Li Z, Pei J J, Li H Y, Sun J. Applying systems thinking approach to accident analysis in China:case study of "7.23" Yong-Tai-Wen high-speed train accident. Safety Science, 2015, 76:190-201 doi: 10.1016/j.ssci.2015.02.017
[6]	贾华强, 李利军.提高我国高铁动车组装备制造水平和运行品质的思考.中国铁路, 2014, (1):30-33 http://www.cqvip.com/QK/91624X/201401/48404652.html Jia Hua-Qiang, Li Li-Jun. Thoughts on improving the manufacturing level and operation quality of high-speed railway EMU in China. Chinese Railways, 2014, (1):30-33 http://www.cqvip.com/QK/91624X/201401/48404652.html
[7]	Willsky A S. A survey of design methods for failure detection in dynamic systems. Automatica, 1976, 12(6):601-611 doi: 10.1016/0005-1098(76)90041-8
[8]	Frank P M. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy:a survey and some new results. Automatica, 1990, 26(3):459-474
[9]	周东华, 叶银忠.现代故障诊断与容错控制.北京:清华大学出版社, 2000. Zhou Dong-Hua, Ye Yin-Zhong. Modern Fault Diagnosis and Fault-Tolerant Control. Beijing:Tsinghua University Press, 2000.
[10]	周东华, 胡艳艳.动态系统的故障诊断技术.自动化学报, 2009, 35(6):748-758 http://www.aas.net.cn/CN/abstract/abstract13336.shtml Zhou Dong-Hua, Hu Yan-Yan. Fault diagnosis techniques for dynamic systems. Acta Automatica Sinica, 2009, 35(6):748-758 http://www.aas.net.cn/CN/abstract/abstract13336.shtml
[11]	Ding S. Model-based Fault Diagnosis Techniques:Design Schemes, Algorithms and Tools (2nd edition). London, UK:Springer-Verlag, 2013.
[12]	Qin S J. Survey on data-driven industrial process monitoring and diagnosis. Annual Reviews in Control, 2012, 36(2):220-234 doi: 10.1016/j.arcontrol.2012.09.004
[13]	陈庆, 肖茜.高速列车故障诊断技术的研究现状及发展趋势.价值工程, 2016, 35(11):254-255 http://www.cqvip.com/QK/93273X/201611/668461918.html Chen Qing, Xiao Qian. Research status and development trend of fault diagnosis technology for high speed trains. Value Engineering, 2016, 35(11):254-255 http://www.cqvip.com/QK/93273X/201611/668461918.html
[14]	Ge Z Q, Song Z H, Gao F R. Review of recent research on data-based process monitoring. Industrial and Engineering Chemistry Research, 2013, 52(10):3543-3562 doi: 10.1021/ie302069q
[15]	Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri S N. A review of process fault detection and diagnosis:Part Ⅱ:qualitative models and search strategies. Computers and Chemical Engineering, 2003, 27(3):313-326 doi: 10.1016/S0098-1354(02)00161-8
[16]	Dai X W, Gao Z W. From model, signal to knowledge:a data-driven perspective of fault detection and diagnosis. IEEE Transactions on Industrial Informatics, 2013, 9(4):2226-2238 doi: 10.1109/TII.2013.2243743
[17]	刘建强.高速列车电气系统技术讲座第二讲:高速列车牵引传动系统.电力电子, 2011, (3):56-62 http://www.cqvip.com/QK/87150X/201103/38376702.html Liu Jian-Qiang. The traction drive system of high-speed train. Power Electronics, 2011, (3):56-62 http://www.cqvip.com/QK/87150X/201103/38376702.html
[18]	刘诗佳.动车组牵引系统故障统计分析.铁道机车车辆, 2013, 33(5):80-85 http://mall.cnki.net/magazine/Article/TDJC201301012.htm Liu Shi-Jia. Statistics and analysis of traction system faults for electric multiple unit. Railway Locomotive and Car, 2013, 33(5):80-85 http://mall.cnki.net/magazine/Article/TDJC201301012.htm
[19]	Karaköse E, Gençoǧlu M T. An analysis approach for condition monitoring and fault diagnosis in pantograph-catenary system. In:Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Manchester, UK:IEEE, 2013. 1963-1968
[20]	Aydin İ, Karaköse E, Karaköse M, Gençoǧlu M T, Akin E. A new computer vision approach for active pantograph control. In:Proceedings of the 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications. Albena, Bulgaria:IEEE, 2013. 1-5
[21]	Song J, Lin X N, Zheng Y, Guo Q W, Sun J W. Traction transformer core multipoint grounded fault on-line monitoring system. In:Proceedings of the 2014 International MultiConference of Engineers and Computer Scientists. Hong Kong, China:IMECS, 2014.
[22]	Tian X J, Li Y H, Li X Q. Hybrid algorithm for traction transformer differential protection based on intrinsic mode function energy entropy and correlation dimension. IET Generation, Transmission and Distribution, 2014, 8(7):1274-1283
[23]	Dai C X, Liu Z G, Hu K T, Huang K. Fault diagnosis approach of traction transformers in high-speed railway combining kernel principal component analysis with random forest. IET Electrical Systems in Transportation, 2016, 6(3):202-206 doi: 10.1049/iet-est.2015.0018
[24]	戴晨曦, 刘志刚, 胡轲珽, 高松.基于模型与模糊Petri网融合的高铁牵引变压器故障诊断.电力系统保护与控制, 2016, 44(11):26-32 doi: 10.7667/PSPC151181 Dai Chen-Xi, Liu Zhi-Gang, Hu Ke-Ting, Gao Song. Fault diagnosis for traction transformer of high speed railway on the integration of model-based diagnosis and fuzzy Petri nets. Power System Protection and Control, 2016, 44(11):26-32 doi: 10.7667/PSPC151181
[25]	戴舜华. CRH_2型系列动车组牵引变流器介绍及故障分析.铁道机车车辆, 2013, 33(2):93-97 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdjccl201302021 Dai Shun-Hua. Introduction and failure analysis of traction converter for CRH_2 EMUs. Railway Locomotive and Car, 2013, 33(2):93-97 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdjccl201302021
[26]	李玉超, 田永洙, 高沁翔.基于BP神经网络的200 km/h牵引变流器故障诊断技术的研究.铁道机车车辆, 2007, 27(2):4-7 https://www.wenkuxiazai.com/word/1b721a41c5da50e2524d7f86-1.doc Li Yu-Chao, Tian Yong-Zhu, Gao Qin-Xiang. Study of 200 km/h traction converter fault diagnosis technology based on BP neural network. Railway Locomotive and Car, 2007, 27(2):4-7 https://www.wenkuxiazai.com/word/1b721a41c5da50e2524d7f86-1.doc
[27]	代崇敬. CRH3动车组变流器故障诊断的研究[硕士学位论文], 西南交通大学, 中国, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10613-1015338523.htm Dai Chong-Jing. Research of Fault Diagnosis in the Traction Converter of CRH3 EMU[Master thesis], Southwest Jiaotong University, China, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10613-1015338523.htm
[28]	Xu X, Lu N Y, Yong J Q, Jiang B. Fault propagation analysis of IGBT fault in CRH5 traction system based on signed directed graph. In:Proceedings of the 2016 Prognostics and System Health Management Conference (PHM-Chengdu). Chengdu, China:IEEE, 2016. 1-6
[29]	Tian Z S, Ge X L. An on-line fault diagnostic method based on frequency-domain analysis for IGBTs in traction PWM rectifiers. In:Proceedings of the 8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). Hefei, China:IEEE, 2016. 3403-3407
[30]	Gou B, Ge X L, Wang S L, Feng X Y, Kuo J B, Habetler T G. An open-switch fault diagnosis method for single-phase PWM rectifier using a model-based approach in high-speed railway electrical traction drive system. IEEE Transactions on Power Electronics, 2016, 31(5):3816-3826 doi: 10.1109/TPEL.2015.2465299
[31]	Hu K T, Liu Z G, Lin S S. Wavelet entropy-based traction inverter open switch fault diagnosis in high-speed railways. Entropy, 2016, 18(3):Article No. 78 doi: 10.3390/e18030078
[32]	戴晨曦, 刘志刚, 胡轲珽.关于高铁CRH2型动车组逆变器故障诊断研究.计算机仿真, 2016, 33(4):217-222 http://cdmd.cnki.com.cn/Article/CDMD-10613-1013248096.htm Dai Chen-Xi, Liu Zhi-Gang, Hu Ke-Ting. Research of fault diagnosis for the high-speed railway CRH2 EMUs inverters. Computer Simulation, 2016, 33(4):217-222 http://cdmd.cnki.com.cn/Article/CDMD-10613-1013248096.htm
[33]	Xia J H, Guo Y B, Dai B J, Zhang X H. Sensor fault tolerant control method for electric traction PWM rectifier using sliding mode observer. In:Proceedings of the 19th International Conference on Electrical Machines and Systems (ICEMS). Chiba, Japan:IEEE, 2016. 1-6
[34]	Gou B, Ge X L, Liu Y C, Feng X Y. Load-current-based current sensor fault diagnosis and tolerant control scheme for traction inverters. Electronics Letters, 2016, 52(20):1717-1719 doi: 10.1049/el.2016.0675
[35]	Zhang K K, Jiang B, Yan X G, Mao Z H. Sliding mode observer based incipient sensor fault detection with application to high-speed railway traction device. ISA Transactions, 2016, 63:49-59 doi: 10.1016/j.isatra.2016.04.004
[36]	Gou B, Ge X L, Pu J K, Feng X Y. A fault diagnosis and fault tolerant control method for DC-link circuit using notch filter in power traction converter. In:Proceedings of the 8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia). Hefei, China:IEEE, 2016. 3230-3235
[37]	Guzinski J, Diguet M, Krzeminski Z, Lewicki A, Abu-Rub H. Application of speed and load torque observers in high-speed train drive for diagnostic purposes. IEEE Transactions on Industrial Electronics, 2009, 56(1):248-256 doi: 10.1109/TIE.2008.928103
[38]	Guzinski J, Abu-Rub H, Diguet M, Krzeminski Z, Lewicki A. Speed and load torque observer application in high-speed train electric drive. IEEE Transactions on Industrial Electronics, 2010, 57(2):565-574 doi: 10.1109/TIE.2009.2029582
[39]	Boccaletti C, Bruzzese C, Honorati O, Santini E. Rotor bars breakage in railway traction squirrel cage induction motors and diagnosis by MCSA technique, Part Ⅱ:theoretical arrangements for fault-related current sidebands. In:Proceedings of the 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics, and Drives. Vienna, Austria:IEEE, 2005. 1-6
[40]	Wu Y K, Jiang B, Shi P. Incipient fault diagnosis for T-S fuzzy systems with application to high-speed railway traction devices. IET Control Theory and Applications, 2016, 10(17):2286-2297 doi: 10.1049/iet-cta.2015.1320
[41]	Wu Y K, Jiang B, Lu N Y, Yang H, Zhou Y. Multiple incipient sensor faults diagnosis with application to high-speed railway traction devices. ISA Transactions, 2016, 67:183-192
[42]	丁建明, 林建辉, 王晗, 林森.万向轴动不平衡检测的二代小波变换奇异值方法.机械工程学报, 2014, 50(12):110-117 http://www.cnki.com.cn/Article/CJFDTotal-MKJD201501030.htm Ding Jian-Ming, Lin Jian-Hui, Wang Han, Lin Sen. Detection of the dynamic unbalance with cardan shaft applying the second wavelet transform and singular value decomposition. Journal of Mechanical Engineering, 2014, 50(12):110-117 http://www.cnki.com.cn/Article/CJFDTotal-MKJD201501030.htm
[43]	Ding J M, Lin J H, He L, Zhao J. Dynamic unbalance detection of cardan shaft in high-speed train based on EMD-SVD-NHT. Journal of Central South University, 2015, 22(6):2149-2157 doi: 10.1007/s11771-015-2739-8
[44]	Ding J M, Lin J H, Yu S W. Dynamic unbalance detection of cardan shaft in high-speed train applying double decomposition and double reconstruction method. Measurement, 2015, 73:111-120 doi: 10.1016/j.measurement.2015.05.016
[45]	何晓琴, 常友渠.一种运用非线性特征提取的动车牵引齿轮箱故障可靠诊断新方法.现代制造工程, 2015, (6):31-39 http://www.cqvip.com/QK/93345A/201506/664966782.html He Xiao-Qin, Chang You-Qu. A novel approach for reliable gearbox fault diagnosis in high-speed train driving system based on nonlinear feature extraction. Modern Manufacturing Engineering, 2015, (6):31-39 http://www.cqvip.com/QK/93345A/201506/664966782.html
[46]	Tang R X, Cheng X Q. Fault diagnosis for the gearbox of a high-speed train on generalized congruence neural networks. In:Proceedings of the 5th International Conference on Transportation Engineering. Dalian, China:ASCE, 2015. 2209-2215
[47]	Zhang B, Tan A C C, Lin J H. Gearbox fault diagnosis of high-speed railway train. Engineering Failure Analysis, 2016, 66:407-420 doi: 10.1016/j.engfailanal.2016.04.020
[48]	Xiao W C, Yang Y, Wang H J, Li T R, Xing H L. Semi-supervised hierarchical clustering ensemble and its application. Neurocomputing, 2016, 173:1362-1376 doi: 10.1016/j.neucom.2015.09.009
[49]	Lee W Y, Lee D H, Ji H Y. Comparison of vibration signal analysis methods for effective gear fault detection. Applied Mechanics and Materials, 2015, 709:456-459
[50]	张建柏, 彭辉水, 倪大成, 刘雄.高速列车制动技术综述.机车电传动, 2011, (4):1-4 https://www.wenkuxiazai.com/doc/d3ec630bf7ec4afe04a1df75-3.html Zhang Jian-Bai, Peng Hui-Shui, Ni Da-Cheng, Liu Xiong. Overviewing braking technology of the high-speed trains. Electric Drive for Locomotives, 2011, (4):1-4 https://www.wenkuxiazai.com/doc/d3ec630bf7ec4afe04a1df75-3.html
[51]	王月明.动车组制动技术.北京:中国铁道出版社, 2010. Wang Yue-Ming. EMU Braking Technology. Beijing:China Railway Publishing House, 2010.
[52]	胡准庆, 彭俊彬, 程卫东.动车组制动系统.北京:北京交通大学出版社, 2012. Hu Zhun-Qing, Peng Jun-Bin, Cheng Wei-Dong. EMU Braking System. Beijing:Beijing Jiaotong University Press, 2012.
[53]	王德明, 李东凯.动车组制动故障原因分析及处理建议.铁道机车车辆, 2008, 28(S):243-245 http://mall.cnki.net/magazine/Article/TDJC201301006.htm Wang De-Ming, Li Dong-Kai. Cause analysis and treatment suggestions on brake failures of the EMU. Railway Locomotive and Car, 2008, 28(S):243-245 http://mall.cnki.net/magazine/Article/TDJC201301006.htm
[54]	李万新, 章阳, 林荣文, 王乐.和谐号动车组制动系统故障诊断及安全措施.铁道机车车辆, 2011, 31(5):39-42 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdjccl201105008 Li Wan-Xin, Zhang Yang, Lin Rong-Wen, Wang Le. Fault diagnosis and safety measures of EMU braking system. Railway Locomotive and Car, 2011, 31(5):39-42 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdjccl201105008
[55]	曹宏发, 乔峰, 温熙圆, 安志鹏.和谐号动车组制动系统故障再现及分析.铁道机车车辆, 2011, 31(5):43-47 http://mall.cnki.net/magazine/Article/TDJC201105015.htm Cao Hong-Fa, Qiao Feng, Wen Xi-Yuan, An Zhi-Peng. Reproduction and analysis of failure for braking system of CRH₃ EMU. Railway Locomotive and Car, 2011, 31(5):43-47 http://mall.cnki.net/magazine/Article/TDJC201105015.htm
[56]	梁雪, 袁飞.动车组制动供风系统常见故障与应急处理.科技创新与应用, 2015, (32):153 http://www.cqvip.com/QK/96274A/201532/666196255.html Liang Xue, Yuan Fei. Common faults and emergency treatment of the air supply system for EMU. Technology Innovation and Application, 2015, (32):153 http://www.cqvip.com/QK/96274A/201532/666196255.html
[57]	亢磊, 李云龙, 乔峰, 杨川, 杨再保. CRH380CL型高速动车组制动系统高低阶压力切换故障原因分析及预防措施.铁道机车车辆, 2016, 36(6):29-34 http://mall.cnki.net/magazine/Article/TDJC201606010.htm Kang Lei, Li Yun-Long, Qiao Feng, Yang Chuan, Yang Zai-Bao. Cause analysis and preventive measures of high-low braking ratio disturbed fault for CRH380CL high-speed EMU braking system. Railway Locomotive and Car, 2016, 36(6):29-34 http://mall.cnki.net/magazine/Article/TDJC201606010.htm
[58]	秦佳颖, 陈澍军.基于实例的高速动车组制动系统故障诊断方法介绍.铁道车辆, 2016, 54(7):41-43 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hgzdhjyb201304027 Qin Jia-Ying, Chen Shu-Jun. Description of the trouble diagnostic method for the braking system for high speed multiple units based on practical example. Rolling Stock, 2016, 54(7):41-43 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hgzdhjyb201304027
[59]	严书荣.一类高速列车制动故障诊断专家系统方案研究.电脑知识与技术, 2010, 6(32):9097-9098 doi: 10.3969/j.issn.1009-3044.2010.32.071 Yan Shu-Rong. A kind of study program of fault diagnosis expert system for brake of high-speed train. Computer Knowledge and Technology, 2010, 6(32):9097-9098 doi: 10.3969/j.issn.1009-3044.2010.32.071
[60]	王猛. 基于LabVIEW的电路板故障测试系统的设计[硕士学位论文], 北京交通大学, 中国, 2012. http://cdmd.cnki.com.cn/Article/CDMD-10004-1012355608.htm Wang Meng. Design of PCB Board Testing System Based on LabVIEW[Master thesis], Beijing Jiaotong University, China, 2012. http://cdmd.cnki.com.cn/Article/CDMD-10004-1012355608.htm
[61]	田静宜, 杨业, 杨雪峰, 郭阳.高速列车智能化故障诊断方法.化工自动化及仪表, 2013, 40(4):531-533 http://www.oalib.com/paper/4824890 Tian Jing-Yi, Yang Ye, Yang Xue-Feng, Guo Yang. Intelligent fault diagnosis method for high-speed trains. Control and Instruments in Chemical Industry, 2013, 40(4):531-533 http://www.oalib.com/paper/4824890
[62]	钟文奇. 基于贝叶斯网络的列车故障诊断研究[硕士学位论文], 北京交通大学, 中国, 2012. http://cdmd.cnki.com.cn/Article/CDMD-10004-1013135888.htm Zhong Wen-Qi. Research of Fault Diagnosis of Train for Bayesian Network[Master thesis], Beijing Jiaotong University, China, 2012. http://cdmd.cnki.com.cn/Article/CDMD-10004-1013135888.htm
[63]	徐磊, 王丹, 宋德刚, 宋龙龙, 王太勇.基于FTA和贝叶斯网络的动车组制动系统故障分析.制造业自动化, 2016, 38(2):51-55 http://www.cqvip.com/QK/92337A/201602/667970038.html Xu Lei, Wang Dan, Song De-Gang, Song Long-Long, Wang Tai-Yong. Fault diagnosis and research of the foundation brake rigging system based on the combination of fault tree and Bayesian network theory. Manufacturing Automation, 2016, 38(2):51-55 http://www.cqvip.com/QK/92337A/201602/667970038.html
[64]	丁国君. 动车组制动控制系统故障诊断方法研究[博士学位论文], 北京交通大学, 中国, 2013. Ding Guo-Jun. Fault Diagnosis Methods for EMUs Brake Control System[Ph.D. dissertation], Beijing Jiaotong University, China, 2013.
[65]	丁国君, 王立德, 申萍, 杨鹏.基于EEMD能量熵和LSSVM的传感器故障诊断.传感器与微系统, 2013, 32(7):22-25 http://www.oalib.com/paper/4607180 Ding Guo-Jun, Wang Li-De, Shen Ping, Yang Peng. Sensor fault diagnosis based on EEMD energy entropy and LSSVM. Transducer and Microsystem Technologies, 2013, 32(7):22-25 http://www.oalib.com/paper/4607180
[66]	Liu J, Li Y F, Zio E. A SVM framework for fault detection of the braking system in a high speed train. Mechanical Systems and Signal Processing, 2017, 87:401-409 doi: 10.1016/j.ymssp.2016.10.034
[67]	周东华, 何潇, 纪洪泉. 一种动车组制动系统传感器故障的诊断方法, 专利CN104596780B, 2017年4月26日 Zhou Dong-Hua, He Xiao, Ji Hong-Quan. Diagnosis method for sensor faults of motor train unit braking system, Patent CN104596780B, April 26, 2017
[68]	周东华, 何潇, 纪洪泉, 台秀华, 赛华松. 动车组空气制动控制系统传感器故障诊断的方法与系统, 专利CN105204496B, 2018年1月12日 Zhou Dong-Hua, He Xiao, Ji Hong-Quan, Tai Xiu-Hua, Sai Hua-Song. Sensor fault diagnosing method and system for air braking control system of motor train unit, Patent CN105204496B, January 12, 2018
[69]	Ji H Q, He X, Sai H S, Tai X H, Zhou D H. Fault detection of EMU brake cylinder. In:Proceedings of the 35th Chinese Control Conference (CCC). Chengdu, China:IEEE, 2016. 6668-6672
[70]	Zhou D H, Ji H Q, He X, Shang J. Fault detection and isolation of the brake cylinder system for electric multiple units. IEEE Transactions on Control Systems Technology, 2017. DOI: 10.1109/TCST.2017.2718979
[71]	郭天序, 陈茂银, 赛华松, 台秀华, 周东华. 高速列车制动系统气制动泄漏故障快速检测方法. 第35届中国控制会议(CCC2016). 成都, 中国: 中国系统工程学会, 2016. 6704-6708 Guo Tian-Xu, Chen Mao-Yin, Sai Hua-Song, Tai Xiu-Hua, Zhou Dong-Hua. Rapid fault detection method for leakage falure of air brake system on high-speed rail. In:Proceedings of the 35th Chinese Control Conference (CCC2016). Chengdu, China:Systems Engineering Society of China, 2016. 6704-6708
[72]	Ji H Q, He X, Shang J, Zhou D H. Incipient fault detection with smoothing techniques in statistical process monitoring. Control Engineering Practice, 2017, 62:11-21
[73]	刘源萍. CTCS-3级列控系统常见故障分析处理方法.科技风, 2012, (17):74 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kjf201217055 Liu Yuan-Ping. Analysis and treatment measures for common faults of CTCS-3 train control system. Technology Wind, 2012, (17):74 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kjf201217055
[74]	Yang L B, Xu T H, Wang Z X. Agent based heterogeneous data integration and maintenance decision support for high-speed railway signal system. In:Proceedings of the 17th IEEE International Conference on Intelligent Transportation Systems (ITSC). Qingdao, China:IEEE, 2014. 1976-1981
[75]	Liu J, Cai B G, Wang J. A fault detection and diagnosis method for speed distance units of high-speed train control systems. In:Proceedings of the 35th Chinese Control Conference (CCC). Chengdu, China:IEEE, 2016. 10258-10263
[76]	程雨. 基于贝叶斯网络的列控系统故障诊断研究[硕士学位论文], 北京交通大学, 中国, 2014. Cheng Yu. Research on Bayesian Network Based Fault Diagnosis of Train Control Systems[Master thesis], Beijing Jiaotong University, China, 2014.
[77]	赵阳, 徐田华, 周玉平, 赵文天.基于贝叶斯网络的高铁信号系统车载设备故障诊断方法的研究.铁道学报, 2014, 36(11):48-53 doi: 10.3969/j.issn.1001-8360.2014.11.011 Zhao Yang, Xu Tian-Hua, Zhou Yu-Ping, Zhao Wen-Tian. Bayesian network based fault diagnosis system for vehicle on-board equipment of high-speed railway. Journal of the China Railway Society, 2014, 36(11):48-53 doi: 10.3969/j.issn.1001-8360.2014.11.011
[78]	李逸. 模糊贝叶斯决策在列控车载设备故障诊断中的应用研究[硕士学位论文], 兰州交通大学, 中国, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10732-1015448519.htm Li Yi. Application Research on Fault Diagnosis of On-board Equipment of Train Control System Based on Fuzzy Theory and Bayesian Network[Master thesis], Lanzhou Jiaotong University, China, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10732-1015448519.htm
[79]	梁潇. 基于贝叶斯网络的列控车载设备故障诊断方法[硕士学位论文], 北京交通大学, 中国, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016119648.htm Liang Xiao. Bayesian Network Based Fault Diagnosis Method of On-board Equipment for Train Control System[Master thesis], Beijing Jiaotong University, China, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016119648.htm
[80]	王振显. 基于案例推理的高铁信号系统车载设备故障诊断[硕士学位论文], 北京交通大学, 中国, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015558144.htm Wang Zhen-Xian. CBR-based Fault Diagnosis System for Vehicle Equipment of High-Speed Railway[Master thesis], Beijing Jiaotong University, China, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015558144.htm
[81]	曹哲. 基于神经网络与案例推理的车载设备故障诊断研究[硕士学位论文], 北京交通大学, 中国, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016074136.htm Cao Zhe. Research on the Fault Diagnosis System for the Vehicle Equipment Based on Neural Network and Case-based Reasoning[Master thesis], Beijing Jiaotong University, China, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016074136.htm
[82]	赵阳, 徐田华.基于文本挖掘的高铁信号系统车载设备故障诊断.铁道学报, 2015, 37(8):53-59 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdxb201508009 Zhao Yang, Xu Tian-Hua. Text mining based fault diagnosis for vehicle on-board equipment of high speed railway signal system. Journal of the China Railway Society, 2015, 37(8):53-59 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdxb201508009
[83]	王峰. 基于文本挖掘的高铁车载设备故障诊断方法研究[硕士学位论文], 北京交通大学, 中国, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016058847.htm Wang Feng. Study on Text Mining Based Fault Diagnosis Method for Vehicle On-board Equipment of High Speed Railway[Master thesis], Beijing Jiaotong University, China, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016058847.htm
[84]	Yin J T, Zhao W T. Fault diagnosis network design for vehicle on-board equipments of high-speed railway:a deep learning approach. Engineering Applications of Artificial Intelligence, 2016, 56:250-259 doi: 10.1016/j.engappai.2016.10.002
[85]	宋琦. 高速列车的鲁棒自适应及容错控制[博士学位论文], 北京交通大学, 中国, 2014. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015544349.htm Song Qi. Robust Adaptive and Fault-tolerant Control of High Speed Trains[Ph.D. dissertation], Beijing Jiaotong University, China, 2014. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015544349.htm
[86]	陶涛. 高速铁路列车容错控制[博士学位论文], 北京交通大学, 中国, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015611884.htm Tao Tao. Fault-tolerant Control of High-speed Trains[Ph.D. dissertation], Beijing Jiaotong University, China, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10004-1015611884.htm
[87]	张秋明. 高速列车执行器故障程度识别和容错控制[硕士学位论文], 北京交通大学, 中国, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016121068.htm Zhang Qiu-Ming. Actuator Fault Degree Identification and Fault-tolerant Control of High Speed Trains[Master thesis], Beijing Jiaotong University, China, 2016. http://cdmd.cnki.com.cn/Article/CDMD-10004-1016121068.htm
[88]	Gao R Z, Wang Y J, Lai J F, Gao H. Neuro-adaptive fault-tolerant control of high speed trains under traction-braking failures using self-structuring neural networks. Information Sciences, 2016, 367-368:449-462 doi: 10.1016/j.ins.2016.05.033
[89]	Wang Y J, Song Y D, Gao H, Lewis F L. Distributed fault-tolerant control of virtually and physically interconnected systems with application to high-speed trains under traction/braking failures. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2):535-545 doi: 10.1109/TITS.2015.2479922
[90]	杨卫峰, 冯江华, 易伟民.高速列车网络控制系统安全性设计.机车电传动, 2014, (3):14-17 http://epub.cqvip.com/articledetail.aspx?id=1000000350192 Yang Wei-Feng, Feng Jiang-Hua, Yi Wei-Min. Safety design of network control system in high-speed train. Electric Drive for Locomotives, 2014, (3):14-17 http://epub.cqvip.com/articledetail.aspx?id=1000000350192
[91]	常振臣, 李强. CRH380CL高速列车网络控制系统.电力机车与城轨车辆, 2017, 40(3):1-5 http://epub.cqvip.com/articledetail.aspx?id=1000000350192 Chang Zhen-Chen, Li Qiang. Network control system for CRH380CL high-speed EMU. Electric Locomotives and Mass Transit Vehicles, 2017, 40(3):1-5 http://epub.cqvip.com/articledetail.aspx?id=1000000350192
[92]	于海波. 高速动车组网络双绞线自动检测及故障自动定位. 第八届中国智能交通年会论文集. 合肥, 中国: 中国智能交通协会, 2013. 330-335 Yu Hai-Bo. Automatic fault detection and location of high-speed EMU network twisted pair. In:Proceedings of the 8th China Intelligent Transportation Annual Meeting. Hefei, China:China Intelligent Transportation Systems Association, 2013. 330-335
[93]	石国良, 李晓, 金炜东, 苟先太.基于排列组合熵的高速列车走行部故障分析.计算机应用研究, 2014, 31(12):3625-3627 doi: 10.3969/j.issn.1001-3695.2014.12.028 Shi Guo-Liang, Li Xiao, Jin Wei-Dong, Gou Xian-Tai. Fault analysis of high-speed train bogie based on permutation entropy. Application Research of Computers, 2014, 31(12):3625-3627 doi: 10.3969/j.issn.1001-3695.2014.12.028
[94]	秦娜, 王开云, 金炜东, 黄进, 孙永奎.高速列车转向架故障的经验模态熵特征分析.交通运输工程学报, 2014, 14(1):57-64 http://www.cqvip.com/QK/90752A/201401/48977344.html Qin Na, Wang Kai-Yun, Jin Wei-Dong, Huang Jin, Sun Yong-Kui. Fault feature analysis of high-speed train bogie based on empirical mode decomposition entropy. Journal of Traffic and Transportation Engineering, 2014, 14(1):57-64 http://www.cqvip.com/QK/90752A/201401/48977344.html
[95]	李辉, 金炜东.基于白噪声统计特性与EEMD的高速列车横向减振器故障诊断.计算机应用研究, 2016, 33(9):2648-2651 http://www.cnki.com.cn/Article/CJFDTOTAL-DJJI200404016.htm Li Hui, Jin Wei-Dong. Lateral damper fault diagnosis of high-speed train based on statistical characteristics of white noise and EEMD. Application Research of Computers, 2016, 33(9):2648-2651 http://www.cnki.com.cn/Article/CJFDTOTAL-DJJI200404016.htm
[96]	Yan R Y, He X, Zhou D H. A diagnosis scheme for intermittent faults in active suspension systems of high speed trains. In:Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA). Guilin, China:IEEE, 2016. 1297-1302
[97]	Liu X Y, Alfi S, Bruni S. An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system. Vehicle System Dynamics, 2016, 54(6):814-830
[98]	周东华, 史建涛, 何潇.动态系统间歇故障诊断技术综述.自动化学报, 2014, 40(2):161-171 http://www.aas.net.cn/CN/abstract/abstract18279.shtml Zhou Dong-Hua, Shi Jian-Tao, He Xiao. Review of intermittent fault diagnosis techniques for dynamic systems. Acta Automatica Sinica, 2014, 40(2):161-171 http://www.aas.net.cn/CN/abstract/abstract18279.shtml
[99]	张可, 周东华, 柴毅.复合故障诊断技术综述.控制理论与应用, 2015, 32(9):1143-1157 http://industry.wanfangdata.com.cn/dl/Detail/Periodical?id=Periodical_kzllyyy201509003 Zhang Ke, Zhou Dong-Hua, Chai Yi. Review of multiple fault diagnosis methods. Control Theory and Applications, 2015, 32(9):1143-1157 http://industry.wanfangdata.com.cn/dl/Detail/Periodical?id=Periodical_kzllyyy201509003
[100]	Liu Y, Wang Z D, He X, Zhou D H. A class of observer-based fault diagnosis schemes under closed-loop control:performance evaluation and improvement. IET Control Theory and Applications, 2017, 11(1):135-141
[101]	Wang K, Chen J H, Song Z H. Data-driven sensor fault diagnosis systems for linear feedback control loops. Journal of Process Control, 2017, 54:152-171 doi: 10.1016/j.jprocont.2017.03.001

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高速列车信息控制系统的故障诊断技术

doi: 10.16383/j.aas.2018.c170392

通讯作者:
周东华山东科技大学和清华大学教授.主要研究方向为动态系统的故障诊断与容错控制, 故障预测与最优维护技术.本文通信作者.E-mail:zdh@mail.tsinghua.edu.cn

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Fault Diagnosis Techniques for the Information Control System of High-speed Trains

Corresponding author: ZHOU Dong-Hua Professor at Shandong University of Science and Technology and Tsinghua University. His research interest covers fault diagnosis and tolerant control, fault prediction, and optimal maintenance. Corresponding author of this paper

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高速列车信息控制系统的故障诊断技术

doi: 10.16383/j.aas.2018.c170392

通讯作者: 周东华 山东科技大学和清华大学教授.主要研究方向为动态系统的故障诊断与容错控制, 故障预测与最优维护技术.本文通信作者.E-mail:zdh@mail.tsinghua.edu.cn

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Fault Diagnosis Techniques for the Information Control System of High-speed Trains

Corresponding author: ZHOU Dong-Hua Professor at Shandong University of Science and Technology and Tsinghua University. His research interest covers fault diagnosis and tolerant control, fault prediction, and optimal maintenance. Corresponding author of this paper

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通讯作者:
周东华山东科技大学和清华大学教授.主要研究方向为动态系统的故障诊断与容错控制, 故障预测与最优维护技术.本文通信作者.E-mail:zdh@mail.tsinghua.edu.cn