| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9795565 | Materials Science and Engineering: A | 2005 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
A. Velayudham, R. Krishnamurthy, T. Soundarapandian,