首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络的故障模糊诊断研究
引用本文:王正武,张瑞平. 基于神经网络的故障模糊诊断研究[J]. 系统工程学报, 2005, 20(3): 330-334
作者姓名:王正武  张瑞平
作者单位:1. 解放军空军第一航空学院数学教研室,河南,信阳,464000
2. 解放军空军第一航空学院训练部,河南,信阳,464000
摘    要:文章用模糊算子代替标准的传递函数,利用征兆、规则、故障间的逻辑关系进行故障诊断,构造了四层模糊结构,给出了诊断的知识流程、机理分析和诊断步骤,并推导出一种能加快网络收敛速度的故障诊断及改进算法.在对某J8-wp13发动机滑油典型故障样本和非故障样本的仿真中,诊断结果良好.

关 键 词:故障诊断 模糊神经网络 模糊算子 诊断算法
文章编号:1000-5781(2005)03-0330-05

Research on fault fuzzy diagnosis based on neural network
WANG Zheng-wu,ZHANG Rui-ping. Research on fault fuzzy diagnosis based on neural network[J]. Journal of Systems Engineering, 2005, 20(3): 330-334
Authors:WANG Zheng-wu  ZHANG Rui-ping
Affiliation:WANG Zheng-wu~1,ZHANG Rui-ping~2
Abstract: The paper uses the fuzzy operators to replace the standard transmission function for fault diagnosis according to the logic relations among the signs, the rules and the faults, constitutes a four-layered fuzzy neural network, gives the knowledge flow, the principe analysis and the process for fault diagnosis, and deduces a fuzzy diagnosis algorithm and a modified algorithm which quicken the convergence speed of the network. The J8-wp13 Engine Lubricating Oil fault diagnosis of the typical and nontypical samples are simulated, the diagnosis results are good.
Keywords:fault diagnosis  fuzzy neural network  fuzzy operator  diagnosis algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号