基于粒子群-小波神经网络的模拟电路故障诊断
Fault Diagnosis of Analog Circuit Based on PSO-WNN
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摘要: 针对传统小波神经网络技术在模拟电路故障应用中存在的问题,提出了一种基于粒子群-小波神经网络的模拟电路故障诊断方法.利用该方法对滤波电路进行了故障检测,结果表明,该方法优于传统的小波神经网络方法.Abstract: In order to address the problems of the conventional Wavelet Neural Network(WNN) in analog circuit fault diagnosis,a new method of analog circuit fault diagnosis,based on Wavelet Neural Network and particle swarm optimization(PSO-WNN), is proposed in this paper.A practical inspecting of a filter circuit has been implemented,using both the new and the conventional method.The experimental results indicate that the new method possess higher precision than WNN.