期刊
SENSORS AND ACTUATORS A-PHYSICAL
卷 161, 期 1-2, 页码 39-45出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.sna.2010.05.032
关键词
Machining process monitoring; Tool break; Machining data analysis
资金
- Electrical Discharge Machining Laboratory at National Central University
An investigation of cutting process monitoring based on dynamic force and acceleration signals in the frequency and time-frequency domains is presented in this paper. The performance of a new data analysis technique, the Hilbert-Huang Transform (HHT), is used to analyze this process in frequency and time-frequency domain. This technique is also compared with the traditional Fourier transform method power spectra in the frequency domain approach. A comparison is made of the analysis of two commonly used signals: acceleration and dynamic force. The shift of the main frequency peak into lower frequencies and higher frequency fluctuations is considered as a cutter tool wear indicator. The appearance of new frequency indicates a cutter tool fault. The performance of dynamic cutting force signal using both HHT and Fourier transform shows better results within this study. The HHT (which deals with nonlinear and non-stationary signals) has been shown to be a robust tool for estimating cutter tool wear/fault. (C) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据