|Table of Contents|

Reproduction simulation of emergency brake fault feature for subway train(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2015年05期
Page:
44-49,56
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Reproduction simulation of emergency brake fault feature for subway train
Author(s):
ZUO Jian-yong1 HAN Fei1 HU Wei2
1. Institute of Railway Transit, Tongji University, Shanghai 200092, China; 2. School of Mechanical Engineering,Ecole Nationale Supérieure d’Arts et Métiers, Metz 57070, Lorraine, France
Keywords:
subway train emergency brake fault feature fault reproduction
PACS:
U270.35
DOI:
-
Abstract:
The working principle of emergency braking loop and the characteristics of emergency pneumatic braking system for subway train were introduced. The diagnostic rules of the faults of emergency electromagnetic valve were provided based on comprehensive braking command and volume-chamber pressure of relay valve. Three kinds of fault characteristics for emergency electromagnetic valve are analyzed respectively corresponding to three kinds of cases, in which emergency brake was invalid with emergency braking command, emergency brake occurred without emergency braking command and volume-chamber pressure of relay valve was abnormal without emergency braking command. The detailed process of fault diagnosis for emergency electromagnetic valve was analyzed. The pneumatic braking system model was set up by using AMESim, three types of faults were simulated based on fault reappearance method, and the contrast test of the first type fault was conducted on the pneumatic control test bed. Test result shows that in triggering the emergency braking signal under normal condition, the volume-chamber pressure delays 1.1 s and reaches its goal. Under artificially disconnecting the signal wire of emergency electromagnetic valve and triggering the emergency braking signal, the volume-chamber pressure is zero and remains unchanged. After 2.6 s, the system alarms the faults of emergency braking electromagnetic valve. So, the braking system model can effectively represent the emergency braking fault features, the fault feature identification method is feasible based on braking command and volume-chamber pressure of relay valve, and it can be used for emergency braking fault’s on-line monitoring and service status tracking. 13 figs, 20 refs.

References:

[1] 李邦国,范荣巍,杨伟君,等.高速动车组制动防滑阀建模及仿真分析[J].铁道机车车辆,2011,31(5):128-131.LI Bang-guo, FAN Rong-wei, YANG Wei-jun, et al. Modeling and simulation analysis of anti-skid valve[J]. Railway Locomotive and Car, 2011, 31(5): 128-131.(in Chinese)
[2] MILLER J I, HENDERSON L M, CEBON D. Designing and testing an advanced pneumatic braking system for heavy vehicles[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2013, 227(8): 1715-1729.
[3] 廖志坚,刘争平,王月明.基于AMESim的动车组制动防滑系统自定义建模与仿真[J].电力机车与城轨车辆,2012,35(4):29-32.LIAO Zhi-jian, LIU Zheng-ping, WANG Yue-ming. Custom modeling and simulation for anti-skid braking system of EMUs based on AMESim[J]. Electric Locomotives and Mass Transit Vehicles, 2012, 35(4): 29-32.(in Chinese)
[4] 边心文,赵翼翔,陈新度.基于AMESim优化功能的参数识别法建模研究[J].机床与液压,2011,39(21):121-124.BIAN Xin-wen, ZHAO Yi-xiang, CHEN Xin-du. Study on modeling with parameter identification method based on optimization function of AMESim[J]. Machine Tool and Hydraulics, 2011, 39(21): 121-124.(in Chinese)
[5] FRANK P M, K?PPEN-SELIGER B. New developments using AI in fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 1997, 10(1): 3-14.
[6] PUGI L, PALAZZOLO A, FIORAVANTI D. Simulation of railway brake plants: an application to SAADKMS freight wagons[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2008, 222(4): 321-329.
[7] PUGI L, MALVEZZI M, PAPINI S. Design and preliminary validation of a tool for the simulation of train braking performance[J]. Journal of Modern Transportation, 2013, 21(4): 247-257.
[8] CANTONE L, CRESCENTINI E, VERZICCOR R. A numerical model for the analysis of unsteady train braking and releasing manoeuvres[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2009, 223(3): 305-317.
[9] ACARMAN T, OZGUNER U, HATIPOGLU C, et al. Pneumatic brake system modeling for systems analysis[C]∥SAE International. Truck and Bus Meeting and Exposition. Warrendale: SAE International, 2000: 1-9.
[10] TAGHIZADEH A, GHAFFARI A, NAJAFI F. Modeling and identification of a solenoid valve for PWM control applications[J]. Comptes Rendus Mecanique, 2009, 337(3): 131-140.
[11] MESSINA A, GIANNOCCARO N I, GENTILE A. Experimenting and modelling the dynamics of pneumatic actuators controlled by the pulse width modulation(PWM)technique[J]. Mechatronics, 2005, 15(7): 859-881.
[12] 魏 伟,杜念博.重载列车制动管路对制动性能的影响[J].交通运输工程学报,2011,11(5):49-54.WEI Wei, DU Nian-bo. Influence of braking pipe on braking performance for heavy haul train[J]. Journal of Traffic and Transportation Engineering, 2011, 11(5): 49-54.(in Chinese)
[13] DING S X, ZHANG P, NAIK A. Subspace method aided data-driven design of fault detection and isolation systems[J]. Journal of Process Control, 2009, 19(9): 1496-1510.
[14] 曹宏发,乔 峰,温熙圆,等.和谐号动车组制动系统故障再现及分析[J].铁道机车车辆,2011,31(5):43-47.CAO Hong-fa, QIAO Feng, WEN Xi-yuan, et al. Reproduction and analysis of failure for braking system of CRH3EMU[J]. Railway Locomotive and Car, 2011, 31(5): 43-47.(in Chinese)
[15] NIU Gang, ZHAO Ya-jun, TRAN Tung-van. Fault detection and isolation based on bond graph modeling and empirical residual evaluation[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(3): 417-428.
[16] 黄志武,刘建刚,刘伟荣,等.基于解析冗余关系的法维莱制动机系统故障诊断技术[J].铁道学报,2013,35(3):29-35.HUANG Zhi-wu, LIU Jian-gang, LIU Wei-rong, et al. Fault diagnosis of Faiveley braking system based on analytical redundancy relations[J]. Journal of the China Railway Society, 2013, 35(3): 29-35.(in Chinese)
[17] PUGI L, MAVLEZZI M, ALLOTTA B, et al. A parametric library for the simulation of a Union Internationale des Chemins de Fer(UIC)pneumatic braking system[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2004, 218(2): 117-132.
[18] 陆 强,杨美传.基于AMESim的地铁车辆空气制动系统的建模及仿真[J].液压气动与密封,2011,31(10):45-48.LU Qiang, YANG Mei-chuan. Modeling and simulation methodology of pneumatic braking system in metro vehicles using AMESim[J]. Hydraulics Pneumatics and Seals, 2011, 31(10): 45-48.(in Chinese)
[19] KAMINSKI Z. Mathematical modeling of the pneumatic relay emergency valve for dual-line agricultural trailer braking systems[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2011, 226(5): 603-612.
[20] 曹 源,王玉珏,马连川,等.基于DTW的车辆轴温监测方法[J].交通运输工程学报,2015,15(3):78-84,100.CAO Yuan, WANG Yu-jue, MA Lian-chuan, et al. Monitoring method of vehicle axle temperature based on dynamic time warping[J]. Journal of Traffic and Transportation Engineering, 2015, 15(3): 78-84, 100.(in Chinese)

Memo

Memo:
-
Last Update: 2015-10-20