NDLI: Study of spindle vibration signals for tool breakage monitoring in micro-drilling

Content Provider	IEEE Xplore Digital Library
Author	Ci-Rong Huang Ming-Chyuan Lu Chang-En Lu Yu-Wei Hsu
Copyright Year	2011
Description	Author affiliation: Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan 402 (Ci-Rong Huang; Ming-Chyuan Lu; Chang-En Lu; Yu-Wei Hsu)
Abstract	The study of the spindle vibration signal for micro tool breakage monitoring was reported in this paper. The vibration signal obtained from the three axis accelerometer installed on a fixture connected to the spindle housing were considered as the input signal for the monitoring system which includes the Wavelet transformation of the collected signal, feature selection for creating the features related to the breakage event, and a classifier design for classifying the tool breakage event based on the selected features. The linear discriminate function was developed as the classifier in the system. The effects of the sensor direction and the selected features on the classification rate were discussed as well in this study. In order to collect the vibration signals for training and verifying the system, an experiment was implemented on a micro milling platform along with 600 µ m diameter micro drill and 6061 aluminum workpiece. The results show that the spindle vibration signals provides the capability of detecting the micro drill breakage, and the features selected from the Wavelet transformation can improve the reliability of the monitoring system.
Starting Page	1130
Ending Page	1134
File Size	1645192
Page Count	5
File Format	PDF
ISBN	9781612846989
e-ISBN	9781612847009
DOI	10.1109/WCICA.2011.5970693
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Monitoring Discrete wavelet transforms Feature extraction Condition monitoring Milling Accelerometers Vibration Signal Tool Breakage Micro Cutting
Content Type	Text
Resource Type	Article

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