基于BP神经网络的电子设备故障诊断技术

Research on Fault Diagnosis Technique of Electronic Device Based on BP Neural Network

故障诊断涉及模式分类与识别问题,神经网络对外界输入样本有很强的识别分类能力,能很好地实现非线性曲面的逼近。因此神经网络在设备故障诊断中能很好地得到应用,BP神经网络是目前最为广泛和成功的神经网络之一。介绍了BP神经网络在电子设备故障诊断技术中的应用,讨论了BP神经网络的算法和改进算法及其诊断过程,并对某型电台的故障诊断进行了MATLAB仿真。

Fault diagnosis involves pattern classification and recognition. Neural network has a good ability to classify the input samples, and it easily realizes the approach to nonlinear curved face. So, neural network can be well applied in fault diagnosis of device and BP neural network is one the most widely used and successful neural network. This paper mainly introduced the fault diagnosis technique of electronic devices based on BP neural network and discussed the algorithm, the improved algorithm of BP neural network and the process of diagnosis, besides, it simulated the fault diagnosis of a certain radio with MATLAB.