Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum
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.
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
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