| 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].井冈山大学自然版,2013,(2):69-74 |
| 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 |
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| DOI： |
| 中文关键词: 神经网络 非线性系统 故障诊断 |
| 英文关键词: neural network nonlinear system fault diagnosis |
| 基金项目:陇东学院青年科技创新项目（XYZK1009） |
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| 摘要点击次数: 2405 |
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| 中文摘要: |
| 针对一类模型未知的非线性系统,提出了一种基于自适应神经网络的故障诊断方法,用RBF神经网络构造了状态估计器和故障估计器,解决了非线性系统状态不可测时的故障诊断问题。并用Lyapunov方法研究了故障误差和状态误差的收敛性,结果表明了该方法实用、有效。 |
| 英文摘要: |
| 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. |
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