Milling Process Monitoring Based on Vibration Analysis Using Hilbert-Huang Transform
Agus Susanto*, Chia-Hung Liu**, Keiji Yamada*,, Yean-Ren Hwang***, Ryutaro Tanaka*, and Katsuhiko Sekiya*
*Graduate School of Engineering, Hiroshima University
1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan
**Industrial Technology Research Institute, Hsinchu, Taiwan
***Department of Mechanical Engineering, National Central University, Taoyuan City, Taiwan
Vibration analysis is one method of machining process monitoring. The vibration obtained in machining is often nonlinear and of a nonstationary nature. Therefore, an appropriate signal analysis is needed for signal processing and feature extraction. In this research, vibrations obtained in the milling of thin-walled workpieces were analyzed using the Hilbert-Huang transform (HHT). The features obtained by the HHT served as machining-state indicators for machining process monitoring. Experimental results showed the effectiveness of the HHT method for detecting chatter and tool damage.
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