Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

Research of Remote Fault Diagnosis System of Electric Locomotive Based on 4G Network

Authors
Jianhui Zhang
Corresponding Author
Jianhui Zhang
Available Online May 2018.
DOI
10.2991/iceesd-18.2018.320How to use a DOI?
Keywords
4G network, remote fault diagnosis, locomotive repair.
Abstract

The paper presents a new type of remote fault diagnosis system of electric locomotive, which aiming at the problems and defects of traditional fault diagnosis technology of electric locomotive. The new system links electric locomotive host with ground repair center by using the mature 4G wireless communication technology, which can monitor and control the operation of electric locomotive remotely. As a result, it can alarm the locomotive fault in real time and guide the driver to eliminate it in time. The new system can greatly reduced the maintenance time of locomotive in railway depot, and improve the operation efficiency, which can ensure driving safety.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/iceesd-18.2018.320
ISSN
2352-5401
DOI
10.2991/iceesd-18.2018.320How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianhui Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Research of Remote Fault Diagnosis System of Electric Locomotive Based on 4G Network
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 1777
EP  - 1780
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.320
DO  - 10.2991/iceesd-18.2018.320
ID  - Zhang2018/05
ER  -