| 基于小波分析的切削力信号奇异性检测 |
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| 引用本文： | 林海龙,王庆明.基于小波分析的切削力信号奇异性检测[J].工具技术,2011,45(6):103-105. |
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| 作者姓名： | 林海龙 王庆明 |
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| 作者单位： | 华东理工大学机械与动力工程学院;华东理工大学; |
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| 摘 要： | 利用小波变换模的极大值和信号奇异点的关系,分析了用Lip指数来描述的切削力信号局部奇异性.通过观察奇异点的位置等信息得到切削刀具的磨损情况.通过对实际刀具磨损的在线监测数据分析,证明了采用小波变换检测刀具磨损这一方法的有效性.
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| 关 键 词： | 小波分析 切削力信号 奇异性监测 |
Application of Wavelet Analysis in Cutting Force Signal Singularity Detection |
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| Lin Hailong,Wang Qingming.Application of Wavelet Analysis in Cutting Force Signal Singularity Detection[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2011,45(6):103-105. |
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| Authors: | Lin Hailong Wang Qingming |
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| Affiliation: | Lin Hailong,Postgraduate,School of Mechanical&Power Engineering,ECUST,Shanghai 200237,China,Wang Qingming |
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| Abstract: | Using the relationship between wavelet transform modulus maxima and singular point,the signal singular point location can be analyzed,and the local singularity is described by Lipschitz index.The wearing condition of cutting tool can be acquired by location of singular point and its other information.The feasibility of cutting tool wearing detection by wavelet transformation is validated by tool wearing condition online monitoring. |
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| Keywords: | wavelet transformation cutting force signal singularity detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
