基于进化神经网络的滤波器电路故障诊断方法

A filter circuit fault diagnosis method based on evolutionary neural network

滤波器电路故障与引起故障因素之间呈高度非线性,传统故障识别方法无法识别这种非线性特点,导致其故障诊断精度低。本文在简要介绍进化神经网络基本原理的基础上,设计并实现了基于进化神经网络BP算法的滤波器电路故障诊断方法,建立了滤波器电路故障诊断的BP神经网络模型。实验表明,该模型的辨识精度高,能实现对滤波器电路故障的正确诊断。

The relationship between filter circuit fault and fault factor is highly nonlinear. The traditional fault diagnosis methods can not identify the nonlinear characteristics, which lead to their low accuracy of diagnosis. In this paper, after the brief introduction of the basic principle of evolutionary neural network, we design and realize a simulation circuit fault diagnosis method based on evolutionary neural network BP algorithm. A BP neural network model for filter circuit fault diagnosis is formed. Experiments show that this model＇s analysis accuracy is high, it can provide a precise diagnosis for filter circuit fault.