Title :
Using EMD to Extract Characteristic Values of the Tool Vibration Signals
Author :
Zhanshuai Shao ; Min Huang ; Le Yan
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
According to the problem that tool wear fault diagnosis of CNC machine, the method was put forward that vibration signal was processed by empirical mode decomposition (EMD). In the paper, tow methods were used to deal with collected data to obtain characteristic values, then the two groups of characteristic values were respectively input into the support vector machine (SVM) for pattern recognition to verify the validity of the empirical mode decomposition (EMD) method.
Keywords :
computerised numerical control; cutting tools; fault diagnosis; feature extraction; machine tools; mechanical engineering computing; signal processing; support vector machines; vibrations; wear; CNC machine; EMD; SVM; cutting tools; empirical mode decomposition; pattern recognition; support vector machine; tool vibration signal extraction; tool wear fault diagnosis; Automation; Mechatronics; EMD; characteristic values; tool wear; vibration signal;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
DOI :
10.1109/ICMTMA.2014.197