Research on Intelligent Fault Diagnosis Methods of Armored Vehicles Electrical System

被引:0
|
作者
Ding, Guobao [1 ]
Lu, Guiyou [1 ]
Li, Dan
Yu, Jie
机构
[1] Armor Tech Inst PLA, Changchun, Peoples R China
关键词
armored vehicles; electrical system; Intelligent diagnosis;
D O I
10.4028/www.scientific.net/AMR.753-755.2175
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For armored vehicles electrical system fault diagnosis of fault original data collection difficult situation, a new intelligent computing programs designed based on the fuzzy set theory and possibility distribution theory and fuzzy logic reasoning design, which realized the process of KA "automatization" through the combination of fault simulation technology and knowledge acquisition technology. The approach presented in this paper makes the work of knowledge acquisition (KA) engineer easier, and makes fast diagnosis fault location and fault reasons possible.
引用
收藏
页码:2175 / +
页数:2
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