DocumentCode :
2554420
Title :
Study of spindle vibration signals for tool breakage monitoring in micro-drilling
Author :
Huang, Ci-Rong ; Lu, Ming-Chyuan ; Lu, Chang-En ; Hsu, Yu-Wei
Author_Institution :
Dept. of Mech. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
fYear :
2011
fDate :
21-25 June 2011
Firstpage :
1130
Lastpage :
1134
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 μm 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.
Keywords :
acoustic signal processing; aluminium; fracture; machine tool spindles; micromachining; vibrations; wavelet transforms; 6061 aluminum workpiece; breakage event; linear discriminate function; microdrilling; microtool breakage monitoring; monitoring system; spindle vibration signals; wavelet transformation; Accelerometers; Condition monitoring; Discrete wavelet transforms; Feature extraction; Milling; Monitoring; Vibrations; Micro Cutting; Monitoring; Tool Breakage; Vibration Signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
Type :
conf
DOI :
10.1109/WCICA.2011.5970693
Filename :
5970693
Link To Document :
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