An Experimental Study on Working State Recognition of Machine Tools

Abstract:

In order to obtain the real-time working state of machine tools, this experiment extracted the characteristics of machine tools using joint time-frequency analysis and wavelet packet analysis for the total current signal collected, to distinguish which machine is running. First, use joint time-frequency analysis on signal of a single machine to get different characteristics. And find some frequency points with amplitude changing significantly, preparing for the subsequent experiment. Then use wavelet packet analysis on the total signal of more than one machine, finding more obvious characteristics of the different machines with different speeds. Thus it is easy to identify which machine is working. By this experiment, we can save labor, improve efficiency and integrate information in system conveniently.

• Periodical: Applied Mechanics and Materials (Volumes 201-202)
• Pages: 707-710
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.201-202.707
• Online since: October 2012
• Authors: Teng Fei Fang, Guo Fu Li, Lei Wang, Hong Bin Li, Wei Guo
• Keywords: Current Signal, Joint Time-Frequency Analysis, Machine Tool, Wavelet Packet Analysis, Working State Recognition

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