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

被引：0

作者：

Qin, Liang ^{[1
]}

Wang, Zhen ^{[1
]}

Shi, Xian-Jun ^{[1
]}

机构：

[1] Naval Aeronaut & Astronaut Univ, Dept Control Engn, Yantai 264001, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MANUFACTURING ENGINEERING AND INTELLIGENT MATERIALS (ICMEIM 2017) | 2017年 / 100卷

关键词：

SVM; Starting System; Fault Diagnosis;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

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页码：582 / 585

页数：4

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