Maintenance service technology and analysis of operation results of electronic equipment of AC electric locomotives on the railways of the Eastern operational area

Author:

Boginskiy S. A.1,Semchenko V. V.2,Shabalin N. G.3

Affiliation:

1. Open Joint Stock Company Russian Railways (JSC “RZD”)

2. Joint Stock Company “Road Center for the Implementation of the Krasnoyarskaya Railway” (JSC “DTsV of the Krasnoyarskaya Railway”)

3. Joint Stock Company “Research and Design Institute of Informatization, Automation and Communication in Railway Transport” (JSC “NIIAS”)

Abstract

The article presents the relevance of the topic associated with the introduction of technical diagnostics tools and the service system of electronic equipment for AC electric locomotives. Results of operating a microprocessor control system and diagnostics of AC electric locomotives on the Eastern operational area are presented in the form of failure statistics of elements of microprocessor technology. Structure of the technological process of servicing AC electric locomotives on the railways of the Eastern operational area is shown. Authors revealed features of building a system of locomotive maintenance points (LMP), which carry out repair and maintenance of electronic equipment for AC electric locomotives of various series. Functional scheme of the system for servicing electronic equipment for AC electric locomotives has been developed. Bench and technological equipment of the service area for the maintenance of electronic equipment is shown. The article describes development of an automated workplace (AWP) for optimization and repair of a microprocessor control system (MCS) for an electric locomotive, which was not previously in the locomotive sector. Examples of performing technological processes of repairing cassettes of MCS using AWP are given. The following conclusions were made: 1. Statistics of MCS failures and malfunctions of their cells on AC electric locomotives at the Eastern operational area for the period from 2016 to 2018 (LMP of station Tayshet and Karymskaya) shows that the number of failures of MCS decreased by 30 % and the number of malfunctioning MCS cells, received for repair, decreased by 45 %. 2. Automated workplaces created in the JSC “DTsV of the Krasnoyarskaya Railway” for optimizing and repairing the local government of AC electric locomotive made it possible to optimize repairs and create an automated process for the maintenance and repair of electronic equipment for electric locomotives. 3. Developed by specialists of the JSC “DTsV of the Krasnoyarskaya Railway” together with the employees of the LLC “Lokotech-Service” technological model of full service maintenance and repair of electronic equipment for AC electric locomotives on the railways of the Eastern operational area was implemented and well proved itself in the work of the LMP.

Publisher

JSC Vniizht

Reference22 articles.

1. Bystritskiy Kh. Ya., Dubrovskiy Z. M., Rebrik B. N. Structure and operation of AC electric locomotives. Moscow, Transport Publ., 1973, 464 p.

2. Kapustin L. D., Kopanev A. S., Lozanovskiy A. L. Features of the device and operation of the locomotive VL80 R. Moscow, Transport Publ., 1979, 175 p.

3. Golovanov V. A., Kapustin L. D., Khomyakov B. I. Operation of power converters for electric rolling stock. Moscow, Transport Publ., 1979, 207 p.

4. Tikhmenev B. N., Trakhtman L. M. Rolling stock of electrified railways. Theory of electrical equipment. Electric circuits and devices. Textbook for universities of railway transport. 4th edition, revised and augmented. Moscow, Transport Publ., 1980, 471 p.

5. Tushkanov B. A. Electric locomotive VL80 R. Manual. Moscow, Transport Publ., 1982, 541 p.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IT Automatic Operation and Maintenance Service System Based on SaaS Architecture;2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS);2022-12-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3