Monitoring of Drill Wear State Using Wavelet Packet Decomposition (WPD) and Welch Spectrum |
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| Journal | Applied Mechanics and Materials (Volumes 16 - 19) |
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| Volume | e-Engineering & Digital Enterprise Technology VII |
| 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 | Xu Yang et al., 2009, Applied Mechanics and Materials, 16-19, 105 |
| Online since | October, 2009 |
| Authors | Xu Yang, Hiroyuki Kumehara, Wei Zhang |
| Keywords | Cutting Torque, Drill Wear State Monitoring, Wavelet Packet Decomposition, Welch Spectrum Energy |
| 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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