Milling Process Monitoring Based on Vibration Analysis Using Hilbert-Huang Transform

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 milli...

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Bibliographic Details
Published in:International journal of automation technology 2018-09, Vol.12 (5), p.688-698
Main Authors: Susanto, Agus, Liu, Chia-Hung, Yamada, Keiji, Hwang, Yean-Ren, Tanaka, Ryutaro, Sekiya, Katsuhiko
Format: Article
Language:English
Subjects:
Damage detection
Feature extraction
Hilbert transformation
Milling (machining)
Signal analysis
Signal processing
Vibration analysis
Vibration monitoring
Workpieces
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Summary: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.
ISSN:1881-7629
1883-8022
DOI:10.20965/ijat.2018.p0688