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IJAT Vol.12 No.5 pp. 688-698
doi: 10.20965/ijat.2018.p0688
(2018)

Paper:

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

Corresponding author

**Industrial Technology Research Institute, Hsinchu, Taiwan

***Department of Mechanical Engineering, National Central University, Taoyuan City, Taiwan

Received:
April 2, 2018
Accepted:
July 9, 2018
Published:
September 5, 2018
Keywords:
milling operation, vibration analysis, chatter, tool damage, Hilbert-Huang transform
Abstract

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.

Cite this article as:
A. Susanto, C. Liu, K. Yamada, Y. Hwang, R. Tanaka, and K. Sekiya, “Milling Process Monitoring Based on Vibration Analysis Using Hilbert-Huang Transform,” Int. J. Automation Technol., Vol.12, No.5, pp. 688-698, 2018.
Data files:
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Last updated on Dec. 07, 2018