| 矿用钢丝绳断丝信号处理技术 |
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| 引用本文： | 任子晖,牛小玲,马彦超.矿用钢丝绳断丝信号处理技术[J].煤矿机械,2004(1):113-115. |
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| 作者姓名： | 任子晖 牛小玲 马彦超 |
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| 作者单位： | 1. 中国矿业大学,信电学院,江苏,徐州,221008
2. 永城煤业集团,城郊矿,河南,永城,476600 |
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| 摘 要： | 针对目前国内各种钢丝绳断丝检测仪的缺陷 ,提出了应用小波变换和神经网络技术对检测信号进行分析处理 ,以提高仪器的精度和灵敏度 ,并详述了用小波分析法提取信号的特征量以及用BP网络建立断丝识别模型的方法。
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| 关 键 词： | 钢丝绳 断丝 检测 信号处理 |
| 文章编号： | 1003-0794(2004)01-0113-03 |
| 修稿时间： | 2003年10月13 |
Technology on testing and processing signal from broken wires in steel rope |
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| REN Zi-hui,NIU Xiao-ling,MA Yan-chao.Technology on testing and processing signal from broken wires in steel rope[J].Coal Mine Machinery,2004(1):113-115. |
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| Authors: | REN Zi-hui NIU Xiao-ling MA Yan-chao |
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| Affiliation: | REN Zi-hui~1,NIU Xiao-ling~1,MA Yan-chao~2 |
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| Abstract: | This paper analyses the defect of steel rope broken wires check device at home now. Wavelet transformation and neural network method are used to analyse and process the signal from the broken wires in a steelrope in order to improve the accuracy and sensitivity of check device. In the meantime, it introduces detailedly the method of using wavelet transformation to gain signal eigenvalue and using BP network to establish the model of discerning quantificationally broken wires in rope. |
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| Keywords: | steel rope broken wires testing signal process |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
