| 基于BP神经网络的钢丝绳断丝模式识别 |
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| 引用本文： | 徐俊峰,陶德馨.基于BP神经网络的钢丝绳断丝模式识别[J].武汉理工大学学报,2002,24(2):52-55. |
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| 作者姓名： | 徐俊峰 陶德馨 |
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| 作者单位： | 1. 武汉理工大学,武汉,430063
2. 武汉理工大学 |
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| 摘 要： | 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，获取样本数据，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。
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| 关 键 词： | 钢丝绳 神经网络 模式识别 |
| 文章编号： | 1671-4431(2002)02-0052-04 |
| 修稿时间： | 2001年12月17 |
Module Identification for Broken Wires of Steel Wire Rope Based on BP Neural Network |
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| Xu Junfeng,Tao Dexin.Module Identification for Broken Wires of Steel Wire Rope Based on BP Neural Network[J].Journal of Wuhan University of Technology,2002,24(2):52-55. |
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| Authors: | Xu Junfeng Tao Dexin |
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| Affiliation: | Xu Junfeng Tao Dexin |
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| Abstract: | This 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. |
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| Keywords: | steel wire rope neural network pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
