基于BP网络的线性电路故障诊断

本文研究了基于神经网络的有容差线性电路故障诊断问题，提出了反向传播神经网络训练厉故障诊断器的具体方法。

LINEAR CIRCUIT FAULT DIAGNOSIS BASED ON BP NETWORKS

Based on the neural networks, the diagnosis problem of linear circuit with element parameter tolerances is addressed in this paper. Specific strategies are proposed for training the back-propagation (BP) neural network to be a fault diagnoser. The experimental results demonstrate that the diagnoser performs better than any classical approaches in terms of accuracy,and provides at least an order-ofmagnitude improvement in the speed of post-fault diagnosis. In addition, it can tolerate its internal hardware damage to a certain extent.