Application of wavelet transform technique to detect tool failure in turning operations

被引：7
|
作者：
Jae-Seob Kwak
机构：
[1] Pukyong National University,School of Mechanical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2006年 / 28卷
关键词：
De-noising; Discrete wavelet decomposition; Tool failure; Turning process ;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this study, discrete wavelet decomposition is used to detect tool failure and to conduct the de-noising of the cutting force signal in a turning process. As a result of de-noising, the wavelet de-noising method is more effective than the FFT filtering technique that is typically used. An analysis of the approximation and the detail coefficients of the cutting force signal confirmed that the onset time of tool failure and chatter vibration was successfully detected.
引用
收藏
页码：1078 / 1083
页数：5
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