Paper Title:
Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum
  Abstract

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, H. Kumehara, W. Zhang, "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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