@inproceedings{40c890a326204c018ef03a039d38059e,
title = "Intelligent diagnostics applied technology of specialized vehicle based on knowledge reasoning",
abstract = "According to the rules on knowledge base, maintenance personnel can use a variety of diagnostics information when one failure occurs in complex system, in order to determine the failure mode of the system by reasoning and implement the fault location and troubleshooting quickly and accurately. Firstly, the framework of intelligent diagnostics based on knowledge reasoning is built, then creation, structure, and updating of knowledge base are analyzed, and then the diagnostics model and reasoning mechanisms are analyzed, and the diagnostics reasoning process is given. Finally, the demonstration of intelligent diagnostics is carried out by one typical failure case in specialized vehicle.",
keywords = "Intelligent diagnostics, Knowledge base, Reasoning, Specialized vehicle",
author = "Licai Bi and Yujie Cheng and Dong Hu and Weimin Lv",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th International Conference on Computer Engineering and Networks, CENet2014 ; Conference date: 19-07-2014 Through 20-07-2014",
year = "2015",
doi = "10.1007/978-3-319-11104-9\_49",
language = "英语",
isbn = "9783319111032",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "415--424",
editor = "\{Eric Wong\}, W.",
booktitle = "Proceedings of the 4th International Conference on Computer Engineering and Networks, CENet2014",
address = "德国",
}