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

Xu Yang; Hiroyuki Kumehara; Wei Zhang

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 16-19Monitoring of Drill Wear State Using Wavelet...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 16-19)

Pages:

105-109

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.16-19.105

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Online since:

October 2009

Authors:

Xu Yang, Hiroyuki Kumehara, Wei Zhang

Keywords:

Cutting Torque, Drill Wear State Monitoring, Wavelet Packet Decomposition, Welch Spectrum Energy

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