| 钢丝绳断丝信号处理技术 |
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| 引用本文： | 田志勇,谭继文,文妍.钢丝绳断丝信号处理技术[J].工矿自动化,2006(4):13-15. |
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| 作者姓名： | 田志勇 谭继文 文妍 |
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| 作者单位： | 1. 浙江机电职业技术学院电气系,浙江,杭州,310053
2. 青岛理工大学,山东,青岛,266033 |
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| 摘 要： | 针对目前国内各种钢丝绳检测仪器的不足之处,选定了钢丝绳断丝损伤信号识别的特征量,提出利用神经网络技术对检测信号进行分析处理,以提高检测的精度和灵敏度。并详细叙述了用BP网络建立钢丝绳断丝损伤识别模型的方法。
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| 关 键 词： | 钢丝绳 断丝 检测 信号处理 神经网络 |
| 文章编号： | 1671-250X（2006）04-0013-03 |
| 收稿时间： | 2006-04-03 |
| 修稿时间： | 2006年4月3日 |
The Signal Processing Technology of Stubble in Steel Rope |
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| TIAN Zhi-yong,TAN Ji-wen,WEN Yan.The Signal Processing Technology of Stubble in Steel Rope[J].Industry and Automation,2006(4):13-15. |
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| Authors: | TIAN Zhi-yong TAN Ji-wen WEN Yan |
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| Abstract: | Aiming at defects of all kinds of detector of steel rope at home,characteristic quantity of(hurting) signal recogniton of stubble in steel rope was selected.Neural network technology was used to ana-(lyse) and process the signal from the stubble in steel rope in order to improve the accuracy and sensitivity.At the same time,the method of using BP network to establish the model of hurting recognition of stubble in steel rope was expounded. |
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| Keywords: | steel rope stubble detect signal process neural network |
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