PHM and Active Maintenance for High-Speed Railway Traction Power Supply System
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摘要: 随着我国高速铁路进入全面运营维护期,针对牵引供电系统与设备状态只能进行二元判断、故障诊断采用故障后处理方式以及维修维护只能采用被动模式等种种不足,提出将故障预测与健康管理(PHM)和主动维护应用于高速铁路牵引供电系统中,结合高速铁路牵引供电系统的多时空尺度性、动态性与随机性的特点,运用多尺度变换、时空联合分析以及随机过程等方法,实现故障的预测预警、系统健康状态的综合评估、全寿命周期可靠性的分析和风险的评估以及维修策略的决策与优化.研究结果表明:PHM与主动维护理论与方法的引入,能有效处理牵引供电系统的大量数据信息、综合表现从设备级到系统级的健康状态、在故障发生前及时预测预警并制定最优的主动维修维护策略;PHM与主动维护技术途径的实现,能在牵引供电系统处于不健康运行状态时及时做出应激反应,通过健康监控与智能维护系统一系列的感知、评估、预测、诊断与决策过程恢复牵引供电系统健康运行.
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关键词:
- 高速铁路 /
- 牵引供电系统 /
- 故障预测与健康管理(PHM) /
- 主动维护 /
- 多时空尺度
Abstract: As China's high-speed railways enter into a comprehensive operation and maintenance period, many problems are exposed such as binary judgment of system and equipment states, fault diagnosis after fault occurrence and passive maintenance. To deal with these problems, the prognostics and health management (PHM) and active maintenance in the traction power supply system of high-speed railway were introduced. The characteristics of traction power supply system such as multiple temporal and spatial scales, dynamics and stochastics were taken into account. By applying multi-scale transform, temporal and spatial joint analysis and stochastic process, the goals of fault prognostics, health status assessment, reliability and risk analysis, and maintenance decision and optimization were achieved. The results indicate that the theoretical application of PHM and active maintenance can process massive data in traction power supply system, show the health status of systems and equipment comprehensively, predict and forecast failures, and make the optimum maintenance decisions. The PHM and active maintenance can realize prompt response when the traction power supply system operates in an unhealthy state. It can restore the health operation by sensing, assessing, predicting, diagnosing and decision making of the health monitoring and intelligent maintenance system. -
李群湛. 论新一代牵引供电系统及其关键技术 [J]. 西南交通大学学报,2014,49(4): 559-568. LI Qunzhan. On new generation traction power supply system and its key technologies for electrification railway 何正友,程宏波. 高速铁路牵引供电系统健康管理及故障预警体系研究 [J]. Journal of Southwest Jiaotong University, 2014, 49(4): 559-568. 刘志刚,钟炜,邓云川,等. 牵引变电站故障的基于模型诊断方法 吴双,何正友,钱澄浩,等. 模糊Petri网在高速铁路牵引供电系统故障诊断中的应用 [J]. 电网技术,2012,36(10): 259-264. HE Zhengyou, CHENG Hongbo. Research on health management and early warning system for traction power supply system of high-speed railway 陈绍宽,彭宏勤,毛保华,等. 基于费用最小的铁路牵引变电所维修计划优化模型 [J]. Power System Technology, 2012, 36(10): 259-264. 刘志刚, 宋洋, 刘煜铖. 电气化高速铁路接触网微风振动特性 HESS A, FILA L. The joint strike fighter (JSF) PHM concept: potential impact on aging aircraft problems [J]. 中国电机工程学报,2010,30(34): 36-41. LIU Zhigang, ZHONG Wei, DENG Yunchuan, et al. Electric railway substation diagnosis with model-based method KOTHAMASU R, HUANG S H, VERDUIN W H. System health monitoring and prognostics: a review of current paradigms and practices 孙博,康锐,谢劲松. 故障预测与健康管理系统研究和应用现状综述 [J]. Proceedings of the CSEE, 2010, 30(34): 36-41. TUMER I Y, BAJWA A. A survey of aircraft engine health monitoring systems [J]. 电网技术,2011,35(9): 79-85. WU Shuang, HE Zhengyou, QIAN Chenghao, et al. Application of fuzzy petri net in fault diagnosis of traction power supply system for high-speed railway TUCHBAND B A. Implementation of prognostics and health management for electronic systems PECHT M, JAAI R. A prognostics and health management roadmap for information and electronics-rich systems [J]. Power System Technology, 2011, 35(9): 79-85. 彭宇,刘大同,彭喜元. 故障预测与健康管理技术综述 [J]. 铁道学报,2011,33(8): 39-44. CHEN Shaokuan, PENG Hongqin, MAO Baohua, et al. Optimization model of least-cost-based maintenance schedules for railway traction substations DAS D, AZARIAN M, PECHT M. Failure modes, mechanisms and effects analysis (FMMEA) for automotive electronics CLIMENTE-ALARCON V, ANTONINO-DAVIU J A, STRANGAS E G, et al. Rotor-bar breakage mechanism and prognosis in an induction motor [J]. Journal of the China Railway Society, 2011, 33(8): 39-44. MICHAEL G P. Prognostics and health management of electronics [J]. 西南交通大学学报,2015,50(1): 1-6. LIU Zhigang, SONG Yang, LIU Yucheng. Aeolian vibration characteristics of electrified high-speed railway catenary CHERRY G A, QIN S J. Multiblock principal component analysis based on a combined index for semiconductor fault detection and diagnosis TOBON-MEJIA D A, MEDJAHER K, ZERHOUNI N, et al. A data-driven failure prognostics method based on mixture of gaussians hidden markov models [J]. Journal of Southwest Jiaotong University, 2015, 50(1): 1-6. POYHONEN S, NEGREA M, JOVER P, et al. Numerical magnetic field analysis and signal processing for fault diagnostics of electrical machines WANG P, VACHTSEVANOS G. Fault prognostics using dynamic wavelet neural networks [C]//Proceedings of the IEEE Aerospace Conference. HANG Jun, ZHANG Jianzhong, CHENG Ming. Fault diagnosis of wind turbine based on multisensors information fusion technology [S.1.] : IEEE, 2002: 3021-3026. POURALI M, MOSLEH A. A functional sensor placement optimization method for power systems health monitoring ZHAO Zhiyao, QUAN Quan, CAI K Y. A profust reliability based approach to prognostics and health management [J]. Handbook of Maintenance Management and Engineering, 2006, 28(9): 1012-1024. 李葆文. 国外设备管理模式及发展趋势(一) 谢小鹏. 设备状态识别与维修决策 [J]. 系统工程与电子技术,2007,29(10): 1762-1767. SUN Bo, KANG Rui, XIE Jingsong. Research and application of the prognostic and health management system COBLE J B, RAMUHALLI P, BOND L J, et al. Prognostics and health management in nuclear power plants: a review of technologies and applications [J]. Systems Engineering and Electronics, 2007, 29(10): 1762-1767. 程宏波,何正友,母秀清. 基于多层免疫模型的高铁牵引供电系统健康监测与评估 张晓阳,孙宇. 基于生物免疫机制的复杂系统健康监测与评估 [C]//The 35th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. Los Angeles: Aevospace Research Central, 1999: 1-8. 张小瑜,吴俊勇. 高速铁路牵引供电系统的供电可靠性评估方法 [D].Washington D.C.: University of Maryland, College Park, 2007. 程宏波,何正友,胡海涛,等. 高速铁路牵引供电系统雷电灾害风险评估及预警 王有元,徐海霞,陈伟根,等. 电力变压器状态维修策略的灰局势决策方法 [J]. Microelectronics Reliability, 2010, 50(3): 317-323. 谢庆华,梁剑,左洪福. 基于变精度粗糙集的航空发动机送修等级决策 IVY J S, NEMBHARD H B. A modeling approach to maintenance decisions using statistical quality control and organization BERTOLINI M, BEVILACQUA M. A combined goal programming: AHP approach to maintenance selection problem [J]. 电子测量与仪器学报,2010,24(1): 1-9. PENG Yu, LIU Datong, PENG Xiyuan. A review: prognostics and health management [J]. Journal of Electronic Measurement and Instrument, 2010, 24(1): 1-9. CASTANIER B, GRALL A. A condition-based maintenance policy with non-periodic inspections for a two-unit series system WANG Wenbin. A two-stage prognosis model in condition based maintenance [C]//The 11th Annual AEC Workshop. Indianapolis: Automotive Electronics Council, 2006: 156-162. KALLEN M J, VAN-NOORTWIJK J M. Optimal maintenance decisions under imperfect Inspection CHEN Dongyan, TRIVEDI K S. Optimization for condition-based maintenance with semi-markov decision process MARQUEZ A C, HEGUEDAS A S. Models for maintenance optimization: a study for repairable systems and finite time periods [J]. IEEE Transactions on Industrial Electronics, 2015, 62(3): 1814-1825. MECHEFSKE C K, WANG Zheng. Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies [M]. Hoboken: John Wiley Sons. Inc., 2008: 73-85. 李雪,吴俊勇,杨媛,等. 高速铁路接触网悬挂系统维修计划的优化研究 陈民武,李群湛,解绍锋. 牵引供电系统维修计划的优化与仿真 [J]. IEEE Transactions on Semiconductor Manufacturing, 2006, 19(2): 159-172. [J]. IEEE Transactions on Reliability, 2012, 61(2): 491-503. [J]. The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2003, 22(4): 969-981. [J]. Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2001, 15(4): 349-365. [J]. IET Renewable Power Generation, 2014, 8(3): 289-298. [J]. IEEE Transactions on Industry Applications, 2013, 49(4): 1711-1719. [J]. IEEE Transactions on Reliability, 2014, 63(1): 26-41. [J]. 设备管理维修,2000(7): 36-37. LI Baowen. Lecture pattern of equipment management abroad and its development trend (1) [J]. Plant Maintenance Engineering, 2000(7): 36-37. [M]. 北京:中国石化出版社,2000: 3-5. [M]. Richland: Pacific Northwest National Laboratory, 2012: 33-36. [J]. 电网技术,2012,36(9): 95-101. CHENG Hongbo, HE Zhengyou, MU Xiuqing. Health monitoring and evaluation of traction power supply system for high-speed railway based on multi-layer immune model [J]. Power System Technology, 2012, 36(9): 95-101. [J]. 系统仿真学报,2005,17(5): 1212-1215. ZHANG Xiaoyang, SUN Yu. Health evaluation and monitoring of complex system based on biological immune mechanism [J]. Journal of System Simulation, 2005, 17(5): 1212-1215. [J]. 电网技术,2007,31(11): 27-32. ZHANG Xiaoyu, WU Junyong. Reliability estimation method of traction power supply system for high-speed railway [J]. Power System Technology, 2007, 31(11): 27-32. [J]. 铁道学报,2013,35(5): 21-26. CHENG Hongbo, HE Zhengyou, HU Haitao, et al. Risk assessment and early warning of lightning disaster for traction power supply system of high-speed railway [J]. Journal of the China Railway Society, 2013, 35(5): 21-26. [J]. 重庆大学学报,2009,32(12): 1419-1424. WANG Youyuan, XU Haixia, CHEN Weigen, et al. Grey situation decision making method of condition based maintenance strategy for power transformer [J]. Journal of Chongqing University, 2009, 32(12): 1419-1424. [J]. 系统工程理论方法应用,2006,15(4): 380-384. XIE Qinghua, LIANG Jian, ZOU Hongfu. Studies on maintenance level decision of aero-engine based on variable precision rough sets theory [J]. Journal of Systems Management, 2006, 15(4): 380-384. [J]. Quality and Reliability Engineering International, 2005, 21(4): 355-366. [J]. Reliability Engineering System Safety, 2006, 91(7): 839-848. [J]. Reliability Engineering System Safety, 2005, 87(1): 109-120. [J]. European Journal of Operational Research, 2007, 182(3): 1177-1187. [J]. Reliability Engineering and System Safety, 2005, 90(2): 177-185. [J]. Reliability Engineering and System Safety, 2005, 90(1): 25-29. [J]. Reliability Engineering and System Safety, 2002, 75(3): 367-377. [J]. Mechanical Systems and Signal Processing, 2003, 17(2): 305-316. [J]. 铁道学报,2010,32(2): 24-30. LI Xue, WU Junyong, YANG Yuan, et al. Research on optimization of catenary system maintenance schedule for high-speed railways [J]. Journal of the China Railway Society, 2010, 32(2): 24-30. [J]. 华南理工大学学报:自然科学版,2009,37(11): 100-106. CHEN Minwu, LI Qunzhan, XIE Shaofeng. Optimization and simulation of maintenance plan of traction power supply systems [J]. Journal of South China University of Technology: Natural Science Edition, 2009, 37(11): 100-106. 期刊类型引用(42)
1. 高仕斌,胡晋豪,韩正庆,陆德伟,白金鑫,吴游龙. 牵引供电数字孪生系统框架设计及典型应用. 中国铁路. 2024(07): 114-125 .
百度学术2. 赵娜,韦晓广,高仕斌. 基于可靠性和维修成本的高铁接触网维修策略优化. 电气化铁道. 2024(06): 1-6 .
百度学术3. 闫优俊,王瑞锋,闫剑. 数据驱动下的动车组故障分析预测技术研究. 铁道车辆. 2024(S1): 37-41 .
百度学术4. 杨华,陈艳华,李宏逸. 基于多旅行商问题的接触网检修计划自动编制方法. 电气化铁道. 2023(01): 81-85 .
百度学术5. 翟玉婷,程占昕,房少军. 智能化雷达故障预测及检测技术综述. 计算机科学. 2023(05): 217-229 .
百度学术6. 陈爱军,马丽丽,周安德,陈三猛,李丰收,李书. 基于跨系统数据融合的轨道车辆PHM技术研究. 电力机车与城轨车辆. 2023(04): 14-18 .
百度学术7. 楚振宇,张长梅. 牵引变电设备在线监测数据应用研究. 电气化铁道. 2023(S1): 7-10 .
百度学术8. 何宗伦,刘帝洋,韦晓广,韩正庆. 基于灰色关联度的接触网故障零部件识别. 铁道技术标准(中英文). 2023(08): 1-6 .
百度学术9. 洪海珠. 城市轨道交通多专业融合主动维修决策关键技术研究. 城市轨道交通研究. 2023(12): 262-265+270 .
百度学术10. 邹月海. 冰冻灾害气候下对铁路供电系统故障的监控探究. 现代工业经济和信息化. 2022(01): 229-231 .
百度学术11. 杨建军,刘丰. 城市轨道交通车辆引入PHM技术的决策分析. 智慧轨道交通. 2022(02): 24-27 .
百度学术12. 张雷,温建民,王天兵,吕文利,余盛灿,余涛. 基于多源数据的牵引供电设备故障预测与健康运行维护管理平台. 电力信息与通信技术. 2022(06): 104-114 .
百度学术13. 陆剑峰,徐煜昊,夏路遥,张浩. 数字孪生支持下的设备故障预测与健康管理方法综述. 自动化仪表. 2022(06): 1-7+12 .
百度学术14. 黄世泽,张肇鑫,张帆,杨玲玉. 基于自回归滑动平均模型的道岔动作电流故障曲线预测方法. 城市轨道交通研究. 2022(12): 52-55 .
百度学术15. 何霖,李政,王瑞锋,赖声钢. 城市轨道交通接触网健康综合评价方法研究. 工程建设与设计. 2021(03): 67-71 .
百度学术16. 方光华. 城轨信号智能运维系统研究. 机车电传动. 2021(02): 92-99 .
百度学术17. 方淳,巨亚鸽,李巍,谭博. 大型飞机电力推进系统关键技术. 海南师范大学学报(自然科学版). 2021(02): 195-203 .
百度学术18. 马元,王鹏,孙瑞. 基于动态权值的转辙机健康度评估方法. 铁道通信信号. 2021(07): 25-30 .
百度学术19. 徐学平,张伟,曹雨璠,刘杰,程宏波. 考虑时变可靠度的接触网检修计划智能编制方法. 电气化铁道. 2021(04): 95-99+104 .
百度学术20. 高金山,李银生. 铁路供电故障预测与健康管理大数据平台方案研究. 电气化铁道. 2021(05): 21-25 .
百度学术21. 王瑞锋. 基于智能检测监测与大数据技术的城市轨道交通智能运维管理. 现代城市轨道交通. 2021(11): 85-89 .
百度学术22. 何勇,王红,杨国军,王宏宇. 基于可靠度的牵引接触网系统分阶段成组维修策略. 兰州交通大学学报. 2020(03): 84-88 .
百度学术23. 李城汐,蒋启龙,陆凡,刘东. 分段自适应阈值小波的地铁塞拉门数据压缩方法. 哈尔滨工业大学学报. 2020(09): 101-106 .
百度学术24. 李波. 智能牵引变压器故障诊断技术研究. 铁道工程学报. 2020(08): 71-76 .
百度学术25. 刘宇轩,赵峰. 城轨车辆辅助三相变压器健康状态评估. 电气传动. 2020(11): 89-94 .
百度学术26. 段亚美,施聪,黄晓荣. 基于故障预测与健康管理技术的城市轨道交通信号系统健康管理体系. 城市轨道交通研究. 2020(12): 177-181 .
百度学术27. 蓝祝光,黄铭. 海堤故障预测和健康管理系统的多目标维修决策优化模型. 工业建筑. 2019(01): 123-129 .
百度学术28. 王为国. 以可用度最大化为目标的接触网预防性机会维修策略. 内蒙古科技与经济. 2019(04): 104-105 .
百度学术29. 米红菊,王维俊,毛龙波,温亚东,王文强. 面向孤立岛礁应用的微网供电装备自主维护. 装甲兵工程学院学报. 2019(02): 20-27 .
百度学术30. 王璟,张于峰. 高速铁路牵引供电系统健康管理及故障预警体系. 中国高新科技. 2019(14): 81-83 .
百度学术31. 刘元清,耿晓峰,祁成. 城市轨道交通制动系统PHM技术研究与应用. 现代城市轨道交通. 2019(09): 24-28 .
百度学术32. 刘润恺,于龙,陈德明. 基于AHP-熵权法的高铁接触网可信性评价研究. 铁道科学与工程学报. 2019(08): 1882-1889 .
百度学术33. 郭尚坤. 浅谈基于PHM技术的高速铁路接触网设备维修策略. 电气化铁道. 2019(06): 86-89 .
百度学术34. 酒国强. 论铁路牵引供电设备检修运行. 城市建设理论研究(电子版). 2019(26): 49-50 .
百度学术35. 王维广. 高速铁路牵引供电系统大数据平台及应用. 电气化铁道. 2018(04): 1-3+8 .
百度学术36. 安英霞. 高速铁路牵引供电系统PHM技术架构与方案研究. 中国铁路. 2018(04): 49-54 .
百度学术37. 李正元. 高铁动车组故障预测与健康管理关键技术的研究. 中国战略新兴产业. 2018(12): 146 .
百度学术38. 冯浩楠,姜庆阳,滕达,范楷,王俊高. 计算机联锁系统故障预测模型及应用. 机车电传动. 2018(05): 112-117 .
百度学术39. 王贞,林圣,冯玎,高仕斌,陈静. 考虑天气状态的接触网可靠性评估方法研究. 铁道学报. 2018(10): 49-56 .
百度学术40. 董文哲,郭晨曦,杨斯泐. 高速铁路智能牵引供电系统研究. 铁路计算机应用. 2018(11): 43-47+55 .
百度学术41. 肖中历. 大数据地铁车辆牵引系统故障诊断技术的分析. 江西建材. 2017(14): 172+177 .
百度学术42. 冯玎,林圣,张奥,孙小军,秦娜,何正友. 基于连续时间马尔可夫退化过程的牵引供电设备可靠性预测方法研究. 中国电机工程学报. 2017(07): 1937-1946 .
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