Fault Diagnosis of Aircraft Power Starting System Based on MTBF-SVM

DOI

10.2991/icmeim-17.2017.98How to use a DOI?

Keywords

SVM, Starting System, Fault Diagnosis

Abstract

In order to solve the fault diagnosis of aircraft power starting system, the fault diagnosis method through constructing binary tree SVM (support vector machines) is researched in this paper. Consider that the components which have high fault rate have priority to be isolated, the method trains the classifier depend on MTBF from small to big and uses the basic structure of binary tree-SVM to generate the leaf nodes gradually, each leaf node represents a fault mode. The method is applied to the identify the common nine fault mode of aircraft power starting system.

Copyright

© 2017, 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  - Liang Qin
AU  - Zhen Wang
AU  - Xian-Jun Shi
PY  - 2017/02
DA  - 2017/02
TI  - Fault Diagnosis of Aircraft Power Starting System Based on MTBF-SVM
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 581
EP  - 584
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.98
DO  - 10.2991/icmeim-17.2017.98
ID  - Qin2017/02
ER  -