Title :
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
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;
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
DOI :
10.1109/NAFIPS.2010.5548197
