基于凸包顶点的高铁制动系统故障诊断算法
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摘要
制动系统是确保高速列车安全平稳运行的重要系统之一。针对高速列车制动系统气制动部分的故障诊断问题展开研究。基于中车青岛四方车辆研究所有限公司的气制动试验平台对气制动存在的多种故障进行了复现。针对气制动故障进行了故障检测和故障分类研究。结合故障诊断的需求,提出针对故障诊断的凸包顶点选取算法,克服了经典的凸包求解算法由于算法复杂度过高而无法在较高维上进行凸包求解的问题。在此基础上,提出基于凸包顶点的故障诊断方法。所提方法被应用于高速列车制动系统的故障检测和分类问题中,并通过实验验证了其效果。
The brake system is one of the crucial systems to ensure the safe and normal operation of EMU. The fault diagnosis problem of EMU braking system is studied in this paper. Various types of faults are reproduced based on the braking test platform of high-speed train in CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd., China. Researches on fault detection and classification are carried out simultaneously. The convex hull selecting algorithm for fault diagnosis is proposed, which overcomes the problem that the classical convex hull solving algorithm cannot select convex hull vertices in higher dimension due to the high complexity. Based on the proposed algorithm, a convex-hull-vertices-based fault diagnosis method is proposed as well. The proposed method is applied to the fault detection and classification of EMU braking system, and its effect is verified by experiments.
The brake system is one of the crucial systems to ensure the safe and normal operation of EMU. The fault diagnosis problem of EMU braking system is studied in this paper. Various types of faults are reproduced based on the braking test platform of high-speed train in CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd., China. Researches on fault detection and classification are carried out simultaneously. The convex hull selecting algorithm for fault diagnosis is proposed, which overcomes the problem that the classical convex hull solving algorithm cannot select convex hull vertices in higher dimension due to the high complexity. Based on the proposed algorithm, a convex-hull-vertices-based fault diagnosis method is proposed as well. The proposed method is applied to the fault detection and classification of EMU braking system, and its effect is verified by experiments.
引文
[1]郭天序,陈茂银,赛华松,等.高速列车制动系统气制动泄漏故障快速检测方法[C].第35届中国控制会议,成都,中国,2016:6704-6708.Guo T X,Chen M Y,Sai H S,et al.Rapid Fault Detection Method for Leakage Failure of Air Brake System on High-speed Rail[C].Proceedings of the 35th Chinese Control Conference,Chengdu,China,2016:6704-6708.
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[10]Izenman A J.Linear Discriminant Analysis[M].Modern Multivariate Statistical Techniques.Springer New York,2013:237-280.
[2]周东华,刘洋,何潇.闭环系统故障诊断技术综述[J].自动化学报,2013,39(11):1933-1943.Zhou D H,Liu Y,He X.Review on Fault Diagnosis Techniques for Closed-loop Systems[J].ACTA AUTOMATICA SINICA,2013,39(11):1933-1943.
[3]Qin S J.Statistical Process Monitoring:Basics and Beyond[J].Journal of Chemometrics,2003,17(8-9):480-502.
[4]Yin S,Ding S X,Haghani A,et al.A Comparison Study of Basic Data-Driven Fault Diagnosis and Process Monitoring Methods on the Benchmark Tennessee Eastman Process[J].Journal of Process Control,2012,22(9):1567-1581.
[5]Zhou B,Ye H,Zhang H,et al.Process Monitoring of Iron-Making Process in a Blast Furnace with PCA-Based Methods[J].Control Engineering Practice,2016,47(2):1-14.
[6]Zeng M,Yang Y,Luo S,et al.One-Class Classification Based on the Convex Hull for Bearing Fault Detection[J].Mechanical Systems and Signal Processing,2016:S0888327016300413.
[7]Chiang L H,Kotanchek M E,Kordon A K.Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines[J].Computers&Chemical Engineering,2004,28(8):1389-1401.
[8]Barber C B,Dobkin D P,Huhdanpaa H.The Quickhull Algorithm For Convex Hulls[J].ACM Transactions on Mathematical Software(TOMS),1996,22(4):469-483.
[9]Graham R L.An Efficient Algorithm for Determining the Convex Hull of a Finite Planar Set[J].Information Processing Letters,1972,1(4):132-133.
[10]Izenman A J.Linear Discriminant Analysis[M].Modern Multivariate Statistical Techniques.Springer New York,2013:237-280.