| 数控机床刀具磨损的振动监测法 |
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| 引用本文： | 杨永.数控机床刀具磨损的振动监测法[J].机械,2009,36(7):58-60. |
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| 作者姓名： | 杨永 |
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| 作者单位： | 广东技术师范学院,机电学院,广东,广州,510635;广东省高等学校科研型重点实验室,广东,广州,510635 |
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| 摘 要： | 在分析小波理论及BP神经网络的基础上，进行了刀具磨损试验研究。在时频域对刀具磨损状态的特征信号进行提取和分析，获得了反映刀具磨损状态的特征信号。将此刀具磨损特征量作为BP神经网络的输入样本对网络进行学习训练，完成对刀具磨损状态的有效识别。实验结果表明该方法是有效的。
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| 关 键 词： | 振动信号 小波变换 神经网络 刀具监测 |
A vibration monitoring method for cutter attrition of CNC machine tool |
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| YANG Yong.A vibration monitoring method for cutter attrition of CNC machine tool[J].Machinery,2009,36(7):58-60. |
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| Authors: | YANG Yong |
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| Affiliation: | 1.Guangdong Polytechnic Normal University;Guangzhou 510635;China;2.Scientific Research-centered and Key Laboratory of Guangdong Universities and College;China |
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| Abstract: | Based on the analysis of wavelet and artificial networks,experimental research was carried out on the cutter attrition.feature signals of vibration in time and frequency domains were extracted and analyzed for cutter condition detection .The selected features are then considered as inputs to BP neural networks to complete recognition of the status of the cutter .Experiments indicate that the method is effective. |
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| Keywords: | vibration sign wavelet transform neural networks cutter monitoring |
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