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。
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.
出处
《航空学报》
EI
CAS
CSCD
北大核心
1996年第5期625-629,共5页
Acta Aeronautica et Astronautica Sinica
关键词
非线性系统
神经网络
故障检测
nonlinear systems neural net faults detection
