@inproceedings{e6e90e868d5e40cc8c68253c1bf50396,
title = "Fault Diagnosis of Armored Vehicle Engine Based on Oil Sensor",
abstract = "The engine is the key part of the armored car. The lubricating oil can reflect the health of the engine. In this paper, the oil sensor on-line real-Time monitoring technology is used to establish the fuzzy comprehensive evaluation model for the oil information of the engine by using the fuzzy theory. The real-Time diagnosis of the engine fault of armored vehicle is realized, which can ensure the safety and effectiveness of the engine, extend the service life of the engine, and greatly reduce the probability of accidents.",
keywords = "fault diagnosis, oil sensor, the fault tree, the fuzzy theory",
author = "Yingshun Li and Guoying Zhang and Xiaojian Yi and Jianxin He",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020 ; Conference date: 05-08-2020 Through 07-08-2020",
year = "2020",
month = aug,
day = "5",
doi = "10.1109/SDPC49476.2020.9353190",
language = "English",
series = "Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "303--308",
editor = "Yong Qin and Zuo, {Ming J.} and Xiaojian Yi and Limin Jia and Dejan Gjorgjevikj",
booktitle = "Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020",
address = "United States",
}