@inproceedings{b3df139d694e45579decc549e24faee2,
title = "Application of BP network on fault diagnosis of an truck engine",
abstract = "As one of the most significant parts of truck, engine is also the major source of truck fault. According to the typical fault of some type of engine, fault diagnosis of engine was conducted based on BP network. The results show, BP neural network for fault diagnosis of engine abnormal signal, and achieved good results, for engine maintenance has some practical value.",
keywords = "BP network, Engine, Exhaust emission, Fault diagnosis",
author = "Guo Deqing and Liu Hongwei and Li Rongxiang and Zhang Yanjun",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 ; Conference date: 20-05-2016 Through 22-05-2016",
year = "2016",
month = sep,
day = "2",
doi = "10.1109/ITNEC.2016.7560518",
language = "English",
series = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1022--1025",
editor = "Bing Xu",
booktitle = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
address = "United States",
}