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

非线性系统的BP神经网络在线建模及故障检测
引用本文:董选明,裘丽华,王占林.非线性系统的BP神经网络在线建模及故障检测[J].航空学报,1996,17(5):114-118.
作者姓名:董选明  裘丽华  王占林
作者单位:北京航空航天大学303教研室, 北京, 100083
摘    要:回顾了非线性系统建模、故障检测与诊断(FDD)及BP神经网络应用中存在的问题。提出了一种BP网络在线阶段自学习方式及应用该方式对非线性系统进行在线建模和故障检测的方法。仿真结果表明,本文提出的方式和方法是可行的

关 键 词:非线性系统  神经网络  故障检测  
收稿时间:1995-04-13
修稿时间:1995-10-10

BP NEURAL NETWORKS BASED ON ON LINE MODELLING AND FAULT DETECTION IN NONLINEAR SYSTEMS
Dong Xuanming,Qiu Lihua,Wang Zhanlin.BP NEURAL NETWORKS BASED ON ON LINE MODELLING AND FAULT DETECTION IN NONLINEAR SYSTEMS[J].Acta Aeronautica et Astronautica Sinica,1996,17(5):114-118.
Authors:Dong Xuanming  Qiu Lihua  Wang Zhanlin
Institution:Faculty 303, Beijing University of Aeronautics and Astronautics, Beijing, 100083
Abstract:The existing problems for modelling, fault detection and diagnosis, and BP neural networks′ application, in nonlinear systems have been reviewed. An on line stage self learning rule is presented, and a novel method for on line modelling and detecting faults using the above rule is also proposed. Simulations show that the presented rule and method are practical.
Keywords:nonlinear systems  neural net  faults  detection  
本文献已被 CNKI 等数据库收录!
点击此处可从《航空学报》浏览原始摘要信息
点击此处可从《航空学报》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