Time-frequency analysis and detecting method research on milling force token signal in spindle current signal

被引：0
|
作者：
Mao XinYong [1 ]
Liu HongQi [1 ]
Li Bin [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Natl NC Syst Engn & Res Ctr, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
来源：
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 2009年 / 52卷 / 10期
基金：
中国国家自然科学基金;
关键词：
tool monitoring; spindle current; cutting force; wavelet transform;
D O I：
10.1007/s11431-009-0303-1
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The vast majority of tool condition monitoring systems use the motor current instead of the cutting force as the predictor signal. The measured motor current signal is time-dependant and instable. It is difficult to detect the cutting force token signal from such motor current signal. This paper presents a method that uses the wavelet transforms to reconstruct the cutting force token signal from the current signal based on the time frequency analysis of the cutting force signal. The result of the cutting force measurement experiment shows that the proposed reconstruct method could be used to analyze the spindle current and monitor the time-varying cutting force.
引用
收藏
页码：2810 / 2813
页数：4
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