Paper Title:
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.

  Info
Periodical
Key Engineering Materials (Volumes 375-376)
Edited by
Yingxue Yao, Xipeng Xu and Dunwen Zuo
Pages
598-602
DOI
10.4028/www.scientific.net/KEM.375-376.598
Citation
G. J. Liu, Q. Wang, R. K. Kang, "Study on the Wavelet Transform Based Monitor Signal Processing Method for Grinding Wheel Dull ", Key Engineering Materials, Vols. 375-376, pp. 598-602, 2008
Online since
March 2008
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Price
$32.00
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