A study about fault diagnosis of automobile engine based on neural network
Authors
Rongchun Guo, Houyu Li, Liangxiu Zhang
Corresponding Author
Rongchun Guo
Available Online September 2012.
- DOI
- 10.2991/emeit.2012.452How to use a DOI?
- Keywords
- BP neural network, engine, unstable idle speed, fault diagnosis
- Abstract
BP neural network is applied on fault diagnosis of automobile engine in this study. Actually tested fault samples of unstable idle speed are used to train network. The results of tests prove that applying BP neural network on fault diagnosis of automobile engine is quite efficient. This method has high diagnostic efficiency and accuracy.
- Copyright
- © 2012, 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 - Rongchun Guo AU - Houyu Li AU - Liangxiu Zhang PY - 2012/09 DA - 2012/09 TI - A study about fault diagnosis of automobile engine based on neural network BT - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012) PB - Atlantis Press SP - 2040 EP - 2043 SN - 1951-6851 UR - https://doi.org/10.2991/emeit.2012.452 DO - 10.2991/emeit.2012.452 ID - Guo2012/09 ER -