Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

Research on Fault Diagnosis of a Certain Launching Vehicle Based on Multi Attribute Decision Making Theory

Authors
Sai Wang, Jiping Cao, Rui Huang, Ning Lei
Corresponding Author
Sai Wang
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.60How to use a DOI?
Keywords
launching vehicle; chassis braking system; multiple attribute decision making; fault tree analysis method; fault diagnosis
Abstract

A fault tree diagnosis method for chassis braking system of launching vehicle is proposed in this paper based on multiple attribute decision making theory. Aiming at the limitation of the traditional fault tree analysis method of poor accuracy and low efficiency, this paper uses TOPSIS method to determine the best diagnosis sequence of bottom events considering the failure probability, the cost for diagnosis and the correlation value of bottom events and raises the precision of the bottom event diagnosis. The fault diagnosis and verification of a certain type of launching vehicle chassis braking system show that the method can accurately diagnosis the fault and improve the diagnosis efficiency.

Copyright
© 2018, 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 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.60How to use a DOI?
Copyright
© 2018, 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  - Sai Wang
AU  - Jiping Cao
AU  - Rui Huang
AU  - Ning Lei
PY  - 2018/04
DA  - 2018/04
TI  - Research on Fault Diagnosis of a Certain Launching Vehicle Based on Multi Attribute Decision Making Theory
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 263
EP  - 269
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.60
DO  - 10.2991/cmsa-18.2018.60
ID  - Wang2018/04
ER  -