Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum

Abstract:

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This paper presents a method for drill wear state monitoring based on recognizing the cutting torque signals. It consists of two steps: firstly, decompose cutting torque components from the original signals by Wavelet Packet Decomposition (WPD); secondly, extracting wavelet coefficients of different wear states (i.e., slight, normal, or severe wear) with signal features adapting to Welch spectrum. The experiments on different tool wears of the multivariable features the results of Monitoring are significant and effective.

Info:

Periodical:

Edited by:

Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie

Pages:

105-109

DOI:

10.4028/www.scientific.net/AMM.16-19.105

Citation:

X. Yang et al., "Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum", Applied Mechanics and Materials, Vols. 16-19, pp. 105-109, 2009

Online since:

October 2009

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Price:

$35.00

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