摘要
本文对非线性系统的故障检测与诊断提出了一种新的方法。利用神经网络对非线性系统进行辩识与建模 ,通过比较实际输出与模型的输出 ,可在线辩识出故障幅值的大小。
A algorithm for the detection and diagnosis of faults in unknown nonliear systems is presented in this paper.It identifies and models the nonlinear systems via neural networks.By comparing the differences between output of the system and that of the healthy neural model,the magnitude of the fault can be identified on line.
出处
《太原重型机械学院学报》
2002年第2期113-117,共5页
Journal of Taiyuan Heavy Machinery Institute
基金
山西省自然科学基金资助 (199910 4 7)
关键词
神经网络
非线性系统
故障诊断
fault detection and diagnosis
neural network
nonlinear systems
