电力机车故障预测与健康管理系统总体方案研究

陈哲; 张森; 王蕾; 邹异民; 陈娟

doi:10.13890/j.issn.1000-128x.2021.03.020

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电力机车故障预测与健康管理系统总体方案研究

智能化技术 | 更新时间：2021-12-09

- 电力机车故障预测与健康管理系统总体方案研究
- Research on the Overall Scheme of Electric Locomotive Fault Prognostics and Health Management System
- 机车电传动 2021年第3期页码：125-131
- 作者机构：
  
  1.中车株洲电力机车有限公司，湖南　株洲　412001
- 作者简介：
  
  陈哲（1987—），男，硕士，高级工程师，长期从事电力机车设计和开发工作；E-mail：010200039702@crrczelc.cc
- 基金信息：
  
  第二届铁路青年人才托举工程项目(2018QNRC001)
- DOI：10.13890/j.issn.1000-128x.2021.03.020
  中图分类号：
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陈哲, 张森, 王蕾, 等. 电力机车故障预测与健康管理系统总体方案研究[J]. 机车电传动, 2021,(3):125-131.

Zhe CHEN, Sen ZHANG, Lei WANG, et al. Research on the Overall Scheme of Electric Locomotive Fault Prognostics and Health Management System[J]. Electric Drive for Locomotives, 2021,(3):125-131.
陈哲, 张森, 王蕾, 等. 电力机车故障预测与健康管理系统总体方案研究[J]. 机车电传动, 2021,(3):125-131. DOI： 10.13890/j.issn.1000-128x.2021.03.020.

Zhe CHEN, Sen ZHANG, Lei WANG, et al. Research on the Overall Scheme of Electric Locomotive Fault Prognostics and Health Management System[J]. Electric Drive for Locomotives, 2021,(3):125-131. DOI： 10.13890/j.issn.1000-128x.2021.03.020.

摘要

为有效提升电力机车在行驶过程中的安全性和可靠性，开展了电力机车故障预测与健康管理技术研究，形成了系统总体方案，实现了对电力机车各重要部件进行智能监测与故障预测的健康管理。研究设计的电力机车健康管理系统已在靖神电力机车上进行了应用并取得初步效果，为后续深化研究奠定基础，可支撑电力机车状态修的实现。

Abstract

In order to effectively improve the safety and reliability of electric locomotives in the driving process, the research on electric locomotive failure prediction and health management technology was carried out and an overall system plan was formed, which realized the health management of intelligent monitoring and fault prediction of the important components of electric locomotives. The electric locomotive health management system researched and designed had been applied to Jingshen electric locomotives and achieved preliminary results, which laying a foundation for the subsequent deepening of research, and supporting the realization of conditional maintenance of electric locomotives.

关键词

轨道交通电力机车故障预测与健康管理状态修故障诊断

Keywords

rail transitelectric locomotivefailure prediction and health managementconditional maintenancefault diagnosis

references

宁友波, 寇树仁, 淡红升, 等. 延长和谐型电力机车高级修周期的可行性分析[J]. 铁道机车车辆, 2015, 35(6): 77-81.

NING Youbo, KOU Shuren, DAN Hongsheng, et al. The feasibility analysis about the senior maintenance cycle extension of the harmonious electric locomotive[J]. Railway Locomotive & Car, 2015, 35(6): 77-81.

仝硕. 电气化铁路机车检修与周转计划优化研究[D]. 北京: 北京交通大学, 2017.

TONG Shuo. Optimum maintenance and turnover scheduling for locomotives in electrified railway[D]. Beijing: Beijing Jiaotong University, 2017.

李忠厚, 文礼, 申恩福, 等. 和谐型机车检修技术规程研究[J]. 铁道机车车辆, 2015, 35(6): 73-76.

LI Zhonghou, WEN Li, SHEN Enfu, et al. Research on the maintenance technical regulations for the harmonious locomotive[J]. Railway Locomotive & Car, 2015, 35(6): 73-76.

王小朋, 张佳欢, 杨臻, 等. 基于大数据技术的和谐机车智能检修方案研究[J]. 铁路计算机应用, 2019, 28(2): 45-48.

WANG Xiaopeng, ZHANG Jiahuan, YANG Zhen, et al. Intelligent overhaul scheme of harmonious locomotive based on big data technology[J]. Railway Computer Application, 2019, 28(2): 45-48.

彭宇, 刘大同, 彭喜元. 故障预测与健康管理技术综述[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.

张聪. PHM系统技术在高速动车组中的应用分析[J]. 中国战略新兴产业, 2019(12): 136.

ZHANG Cong. Application analysis of PHM system technology in high-speed EMUs[J]. China Strategic Emerging Industry, 2019(12): 136.

申瑞源. 机车车载安全防护系统(6A系统)总体方案研究[J]. 中国铁路, 2012(12): 1-6.

SHEN Ruiyuan. The overall scheme of the locomotive on board safety protection system (6A system)[J]. Chinese Railways, 2012(12): 1-6.

张大勇, 熊昱凯. 中国机车远程监测与诊断系统(CMD系统)车载子系统[J]. 中国铁路, 2017(3): 16-22.

ZHANG Dayong, XIONG Yukai. Onboard subsystem of CMD System[J]. Chinese Railways, 2017(3): 16-22.

吴芳榕, 罗凯宇, 岳伟, 等. 受电弓健康管理系统方案研究[J]. 技术与市场, 2018, 25(5): 103-104.

WU Fangrong, LUO Kaiyu, YUE Wei, et al. Research on pantograph health management system[J]. Technology and Market, 2018, 25(5): 103-104.

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