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Published in:
2012 | OriginalPaper | Chapter
A Tool Wearing Assessment Method Based on Wavelet Transform
Authors : Yantao Dou, Xiaoli Xu, Guoxin Wu, Shaohong Wang, Bin Ren
Published in: Recent Advances in Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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In this paper, a tool wear assessment method based on wavelet packet energy spectrum and energy value of the characteristic spectrum band is introduced. The experiment to different wear condition of the turning tool were completed. The typical time and frequency feature of acoustic emission signals was collected. By wavelet packet analysis, the energy spectrum coefficient of wavelet packet were extracted, which can be used to describe the energy distribution in different frequency band. And then the characteristic spectrum band which is sensitive to the tool wearing can be found, and the relationship between the energy value of the characteristic spectrum band and the degree of tool wear is established. The result shows that distribution of the energy spectrum coefficient of wavelet packet changed significantly after the tool worn, and the energy value of the characteristic spectrum band increased with the tool wear. Therefore, the characteristic index can accurately describe the extent of tool wear.