Research on the Automotive Remote Failure Diagnosis based on Complex Network Theory

DOI

10.2991/icmmita-15.2015.52How to use a DOI?

Keywords

automotive; remote failure diagnosis; complex networks.

Abstract

First, this paper analyzes the research status of vehicle networking, engineering applications, electronic control engine fault diagnosis and develops research content and design route for this paper. From view of application, this paper analyzes the complex network model, complex network rules, complex network structure designs, and the selection rules for initial value as well as the diagnostic process. The paper also presents the disadvantages of applying complex networks to failure diagnosis and its corrective methods..

Copyright

© 2015, 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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TY  - CONF
AU  - Haibin Zhao
AU  - Aibing Wang
PY  - 2015/11
DA  - 2015/11
TI  - Research on the Automotive Remote Failure Diagnosis based on Complex Network Theory
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 263
EP  - 267
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.52
DO  - 10.2991/icmmita-15.2015.52
ID  - Zhao2015/11
ER  -