Abstract
In this paper, we present a novel approach, combining chaos theory with wavelets, for Acoustic Emission (AE) signal analysis. We perform thorough characterization of AE signals collected from extensive experimentation on the turning process and develop time-frequency representation - called Suboptimal Wavelet Packets (SWP) - to compactly model AE signals. We use the features extracted from SWP representation for on-line flank wear estimation. The results show that the developed techniques perform better than the existing analytical methods for AE signal representation and AE signal based state estimation.
| Original language | English (US) |
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| Pages | 450-455 |
| Number of pages | 6 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC - Miami Beach, FL, USA Duration: May 17 1997 → May 18 1997 |
Other
| Other | Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC |
|---|---|
| City | Miami Beach, FL, USA |
| Period | 5/17/97 → 5/18/97 |
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering