Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

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

Authors
Haibin Zhao, Aibing Wang
Corresponding Author
Haibin Zhao
Available Online November 2015.
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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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.52
ISSN
2352-538X
DOI
10.2991/icmmita-15.2015.52How to use a DOI?
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/).

Cite this article

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  -