| 数控机床刀具磨损监测实验数据处理方法研究 |
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| 引用本文： | 曾祥超,陈捷.数控机床刀具磨损监测实验数据处理方法研究[J].机械设计与制造,2009(1). |
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| 作者姓名： | 曾祥超 陈捷 |
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| 作者单位： | 南京工业大学,机械与动力工程学院,南京,210009 |
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| 摘 要： | 数控机床刀具磨损监测对于提高数控机床利用率,减小由于刀具破损而造成的经济损失具有重要意义.有针对性地回顾了国内外各种分析刀具磨损信号方法的研究工作,详细叙述了功率谱分析法、小波变换、人工神经网络以及多传感器信息融合技术的实现形式.通过比较各种数据处理方法的优缺点,提出基于混合智能多传感器信息融合技术是数控机床刀具磨损监测实验数据处理的未来发展的主要方向.
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| 关 键 词： | 数控机床:刀具磨损监测 数据处理 |
Study of data processing method for CNC tool wear monitoring |
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| ZENG Xiang-chao,CHEN Jie.Study of data processing method for CNC tool wear monitoring[J].Machinery Design & Manufacture,2009(1). |
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| Authors: | ZENG Xiang-chao CHEN Jie |
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| Affiliation: | School of Mechanical and Power Engineering;Nanjing University of Technology;Nanjing 210009;China |
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| Abstract: | CNC tool wear monitoring would be a great significance for improving the usage rate of CNC and reducing the economic losses due to the tool breakage. The recent research progress on the signal analyzing was reviewed. Some important data process methods were detailed described,such as power spectrum analysis,wavelet transform,artificial neural network and intelligent sensor fusion technology. By comparing their features,the intelligent sensor fusion technology was introduced to be popular in data processing ... |
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| Keywords: | CNC Tool wear monitoring Data processing method |
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