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

模糊自组织神经网络在航空发动机故障诊断中的应用
引用本文:蒋东翔,王风雨,周明,倪维斗.模糊自组织神经网络在航空发动机故障诊断中的应用[J].航空动力学报,2001,16(1):80-82.
作者姓名:蒋东翔  王风雨  周明  倪维斗
作者单位:清华大学 热能工程系,
基金项目:国家重点基础研究专项基金资助项目! (G19980 2 0 3 2 0 )
摘    要:介绍了模糊自组织神经网络在航空发动机故障诊断中的应用方法 ,并通过实例验证了该方法在发动机故障分类中的实用性。该方法具有结构算法简单、无监督自学习和侧向联想等功能。它有很好的应用前景 ,可以广泛应用于发动机的故障诊断。

关 键 词:航空发动机  故障诊断  模糊数学  自组织神经网络
文章编号:1000-8055(2001)01-0080-03
收稿时间:2000/2/21 0:00:00
修稿时间:2000年2月21日

Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis
JIANG Dong-xiang,WANNG Feng-yu,ZHOU Ming and NI Wei-dou.Application of Fuzzy Self-Organizing Neural Network to Aeroengine Fault Diagnosis[J].Journal of Aerospace Power,2001,16(1):80-82.
Authors:JIANG Dong-xiang  WANNG Feng-yu  ZHOU Ming and NI Wei-dou
Institution:Dept.of Thermal Engineering, Tsinghua University, Beijing100084, China;Dept.of Thermal Engineering, Tsinghua University, Beijing100084, China;Dept.of Thermal Engineering, Tsinghua University, Beijing100084, China;Dept.of Thermal Engineering, Tsinghua University, Beijing100084, China
Abstract:A new diagnostic method has been developed,which applies the fuzzy self-organizing neural network to aeroengine fault diagnosis.In this method,the relationships between the fault causation and fault symptoms are established aecording to the fuzzy mathematics.Then the mapped 2-dimension pictures of the sample fault set and actual fault are obtained by a self-organizing neural network.At last,the reasonable conclusions are drown from the comparison between them.The case study of an engine has verified the practicability of this method.The proposed method features a simple structural algorithm,supervision free self-study and lateral association,etc.
Keywords:aeroengine  fault diagnosis  fuzzy mathematics  self-organizing neural network
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《航空动力学报》浏览原始摘要信息
点击此处可从《航空动力学报》下载免费的PDF全文
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