A method for fault diagnosis in aiming systems based on fuzzy Petri net

被引：0
|
作者：
Zhang, Bo [1 ]
Dou, Li-Hua [1 ]
Chen, Jie [1 ]
Dong, Ling-Xun [1 ]
机构：
[1] Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2008年 / 28卷 / 09期
关键词：
Aiming systems - Dynamic behaviors - Fault diagnosis method - Fuzzy Petri nets - Fuzzy production rules - Fuzzy reasoning - Method of modeling - Reasoning algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In an aiming system it is hard to show dynamic behaviors in fault diagnosis. Fuzzy Petri net is applied to the method of modeling fault transmission. Fuzzy production rules are introduced into knowledge representation, and the fault diagnosis method using fuzzy Petri net and its reasoning algorithm are discussed. Using this method in fault diagnosis in an aiming system, the result demonstrates that fuzzy Petri net has an easy structure, a good expression of faults and effective capability of fuzzy reasoning. Fuzzy Petri net is a useful method in fault diagnosis.
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页码：790 / 793
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