Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)

The Common Fault Diagnosis Method of Diesel Engine

Authors
Zhibin Wang, Yu Zhao, Jian Yan, Jiafeng Xu
Corresponding Author
Zhibin Wang
Available Online May 2018.
DOI
10.2991/ammsa-18.2018.82How to use a DOI?
Keywords
diesel engine; fault diagnosis; performance parameter; oil analysis; vibration noise; instantaneous speed
Abstract

With the rapid development of diesel engine technology, the request of the fault diagnostic technology is getting much higher. This paper describes the common fault diagnosis method of diesel engine which is used to ensure operational safety, performance, reasonable maintenance, cost reduction, pollution prevention and information collection. Moreover the development trend of diesel engine fault diagnosis technology is predicted after analyzing the common fault diagnosis method.

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/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ammsa-18.2018.82
ISSN
1951-6851
DOI
10.2991/ammsa-18.2018.82How 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  - Zhibin Wang
AU  - Yu Zhao
AU  - Jian Yan
AU  - Jiafeng Xu
PY  - 2018/05
DA  - 2018/05
TI  - The Common Fault Diagnosis Method of Diesel Engine
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 390
EP  - 392
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.82
DO  - 10.2991/ammsa-18.2018.82
ID  - Wang2018/05
ER  -