首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络及模糊理论建立回热系统故障诊断层次模型
引用本文:胡勇,巨林仓.基于神经网络及模糊理论建立回热系统故障诊断层次模型[J].西安交通大学学报,1998,32(11):53-57.
作者姓名:胡勇  巨林仓
作者单位:西安交通大学
摘    要:针对热力系统故障发生的模糊性,提出将模糊辨识理论和人工神经网络相结合,建立回热系统故障诊断层次模型.该模型根据回热系统以加热器为中心的特点,分层诊断,缩小了知识库,减少了计算量,并利用了神经网络“边学习、边辨识”的优点,使故障诊断迅速、准确.经仿真实验,证明了模型辨识效果良好.

关 键 词:模糊系统  神经网络  故障诊断  模型

Fuzzy Logic and Artificial Neural Network Applied in Evaluating Malfunction Model of Thermodynamic System
Hu Yong,Ju Lincang,Fan Yibo,Li Xinkang,Li Xincheng.Fuzzy Logic and Artificial Neural Network Applied in Evaluating Malfunction Model of Thermodynamic System[J].Journal of Xi'an Jiaotong University,1998,32(11):53-57.
Authors:Hu Yong  Ju Lincang  Fan Yibo  Li Xinkang  Li Xincheng
Abstract:Combining the fuzzy logic and artificial neural networks, the approach of establishing fault diagnosis model of regenerative system has been put forward. With the heater being the center of the regenerative system, the fault diagnosis model based on this new approach makes fully use of the advantage of artificial neural networks that the model can be learning while it is identifying, reduces the calculation workload and the size of knowledge repository, which makes the fault diagnosis rapid and accurate. The simulation result shows the model satisfactory.
Keywords:fuzzy system  neural networks  fault diagnosis  models  
本文献已被 CNKI 维普 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