井冈山大学学报（自然科学版）Issue(2)：69-74,6.DOI:10.3969/j.issn.1674-8085.2013.02.016
基于自适应神经网络的非线性系统的智能故障诊断
THE INTELLIGENT FAULT DIAGNOSIS OF NONLINEAR SYSTEM BASED ON ADAPTIVE NEURAL NETWORKS
摘要
Abstract
According to a class of unknown model of nonlinear systems, the fault diagnosis method based on adaptive neural networks is proposed. The state estimator and fault estimator are constituted by RBF neural network, which can solve the nonlinear system fault diagnosis problem when the nonlinear system’s state is uncertain. The convergence on fault error and state error is researched by Lyapunov method. The results show that this method is practical and effective.关键词
神经网络/非线性系统/故障诊断Key words
neural network/nonlinear system/fault diagnosis分类
信息技术与安全科学引用本文复制引用
林涛,刘仰魁,徐秀妮..基于自适应神经网络的非线性系统的智能故障诊断[J].井冈山大学学报（自然科学版）,2013,(2):69-74,6.基金项目
陇东学院青年科技创新项目(XYZK1009) （XYZK1009）
