Study on the Wavelet Transform Based Monitor Signal Processing Method for Grinding Wheel Dull

Abstract:

A processing method based on wavelet transform for the monitoring signals of grinding wheel dull is presented. The noise-falling method based on wavelet transform is used to process AE signals, grinding force signals and the electric current signals of main axis motor produced in grinding process, and the processing results can be used to identify grinding wheel state. Test result indicates that the grinding wheel state can be identified exactly by these three kinds of signal characteristics, and have higher identified precision.

• Periodical: Key Engineering Materials (Volumes 375-376)
• Pages: 598-602
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.375-376.598
• Online since: March 2008
• Authors: Gui Jie Liu, Qiang Wang, Ren Ke Kang
• Keywords: Acoustic Emission Signals, Grinding Wheel Dull Degree, Process Method, Wavelet Transform (WT)

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