Analysis of acoustic emission signals in machining Conference Paper

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.

authors

• Bukkapatnam, Satish

published proceedings

• 6TH INDUSTRIAL ENGINEERING RESEARCH CONFERENCE PROCEEDINGS

author list (cited authors)

• Bukkapatnam, S., Kumara, S., & Lakhtakia, A.

complete list of authors

• Bukkapatnam, STS||Kumara, SRT||Lakhtakia, A

publication date

• December 1997

keywords

• Acoustic Emission
• Chaos Theory
• Tool Wear
• Wavelet Packets

International Standard Book Number (ISBN) 10

• 0-89806-177-6

start page

• 450

end page

• 455