介绍了一种利用 BP神经网络进行钢丝绳断丝模式识别的方法。首先通过小波理论对信号进行预处理 ,提取特征量 ,获得样本数据 ,再对样本数据进行学习和训练 ,形成良好的网络 ,然后对钢丝绳进行检测 ,达到了一定的准确度 ,表明了该方法在实际应用中具有可行性。

Module Identification for Broken Wires of Steel Wire Rope Based on BP Neural Network Xu Junfeng Tao DexinThis paper introduces an approach to identify the broken wires of steel wire rope based on BP neural network. Firstly, the signal data of specimen is got by wavelet theory, then learning and training the data forms a perfect structure of neural network. Secondly, steel wire rope is detected by the perfect neural network. And then the result of the network is to reach the required accuracy of broken wires, so it is proved this approach is feasible in the practical application.steel wire rope; neural network; pattern recognition