PHM and Active Maintenance for High-Speed Railway Traction Power Supply System

WANG Qi; HE Zhengyou; LIN Sheng; FENG Ding; LI Zhaoyang

doi:10.3969/j.issn.0258-2724.2015.05.026

Volume 28 Issue 5

Oct. 2015

Turn off MathJax

Article Contents

Journal of Southwest Jiaotong University > 2015 > 28(5): 942-952.

WANG Qi, HE Zhengyou, LIN Sheng, FENG Ding, LI Zhaoyang. PHM and Active Maintenance for High-Speed Railway Traction Power Supply System[J]. Journal of Southwest Jiaotong University, 2015, 28(5): 942-952. doi: 10.3969/j.issn.0258-2724.2015.05.026

Citation:

WANG Qi, HE Zhengyou, LIN Sheng, FENG Ding, LI Zhaoyang. PHM and Active Maintenance for High-Speed Railway Traction Power Supply System[J]. Journal of Southwest Jiaotong University, 2015, 28(5): 942-952. doi: 10.3969/j.issn.0258-2724.2015.05.026

Citation:

PDF( 0 KB)

PHM and Active Maintenance for High-Speed Railway Traction Power Supply System

doi: 10.3969/j.issn.0258-2724.2015.05.026

Received Date: 30 Apr 2015
Publish Date: 25 Oct 2015

Abstract

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.
- high-speed railway,
- traction power supply system,
- prognostics and health management (PHM),
- active maintenance,
- multiple temporal and spatial scales

FullText(HTML)

References(102)

References

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.

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(1295) PDF downloads(717)

PHM and Active Maintenance for High-Speed Railway Traction Power Supply System

doi: 10.3969/j.issn.0258-2724.2015.05.026

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Proportional views

Related

PHM and Active Maintenance for High-Speed Railway Traction Power Supply System

doi: 10.3969/j.issn.0258-2724.2015.05.026

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Proportional views

Related

Export File

Citation

Format

Content