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 languageEnglish (US)
Pages450-455
Number of pages6
StatePublished - Dec 1 1997
EventProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC - Miami Beach, FL, USA
Duration: May 17 1997May 18 1997

Other

OtherProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC
CityMiami Beach, FL, USA
Period5/17/975/18/97

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Bukkapatnam, S. T. S., Kumara, S. R. T., & Lakhtakia, A. (1997). Analysis of acoustic emission signals in machining. 450-455. Paper presented at Proceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC, Miami Beach, FL, USA, .