Acoustic emission signal feature analysis using type-2 fuzzy logic System

Author

Ren, Qun ; Baron, Luc ; Balazinski, Marek ; Jemielniak, Krzysztof

Author_Institution

Mech. Eng. Dept., Ecole Polytech. de Montreal, Montréal, QC, Canada

fYear

2010

fDate

12-14 July 2010

Firstpage

1

Lastpage

6

Abstract

In this paper, type-2 fuzzy logic system is applied to analyse acoustic emission signal feature for tool condition monitoring in a tool micromilling process. To make the comparison and evaluation of AE signal features easier and more transparent, Type-2 fuzzy analysis is used as not only a powerful tool to model AE SFs, but also a great estimator for the ambiguities and uncertainties associated with them. Depend on the estimation of root-mean-square error (RMSE) and variations in modeling results of all signal features, reliable ones are selected and integrated into tool wear evaluation. A discussion and comparison of results is given.

Keywords

acoustic signal processing; computerised monitoring; condition monitoring; fuzzy logic; machine tools; mean square error methods; micromachining; milling; production engineering computing; acoustic emission signal feature analysis; root-mean-square error estimation; tool condition monitoring; tool micromilling process; tool wear evaluation; type-2 fuzzy logic system; Acoustic emission; Acoustic signal detection; Condition monitoring; Fuzzy logic; Fuzzy sets; Fuzzy systems; Machining; Signal analysis; Signal processing; Uncertainty; acoustic emission; fuzzy modeling; signal feature; type-2 fuzzy logic; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American

Conference_Location

Toronto, ON

Print_ISBN

978-1-4244-7859-0

Electronic_ISBN

978-1-4244-7857-6

Type

conf

DOI

10.1109/NAFIPS.2010.5548197

Filename

5548197