Acoustic emission based drill condition monitoring during drilling of glass/phenolic polymeric composite using wavelet packet transform

Monitoring of tool condition on the basis of sensor signals requires a selection of suitable signal processing technique and monitoring index, to assess the tool condition. In this paper, wavelet packet transform is used as a tool, to characterise the acoustic emission signals released from glass/phenolic polymeric composite during drilling. The results show that the selected monitoring indices from the wavelet packet coefficients are capable of detecting the drill condition effectively. (c) 2005 Elsevier B.V. All rights reserved.