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

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.