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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 nonlinearity between the filter circuit fault and the factor causing the fault is highly nonlinear, which can not be recognized by the traditional fault identification method, resulting in low fault diagnosis accuracy. Based on the brief introduction of the basic principle of evolutionary neural network, this paper designs and implements the fault diagnosis method of the filter circuit based on the evolutionary neural network BP algorithm, and establishes the BP neural network model for the fault diagnosis of the filter circuit. Experiments show that the identification accuracy of the model is high, which can achieve the correct diagnosis of the fault of the filter circuit.