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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qun Ren Baron, L. Balazinski, M. Jemielniak, K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Mechanical Engineering Department, École Polytechnique de Montréal, C.P. 6079, succ. Centre-Ville, Montréal, Québec, Canada, H3C 3A7 (Qun Ren; Baron, L.; Balazinski, M.) || Faculty of Production Engineering, Warsaw University of Technology, Narbutta 86, 02-524 Warsaw, Poland (Jemielniak, K.) |
| 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. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 897199 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478590 |
| e-ISBN | 9781424478583 |
| e-ISBN | 9781424478576 |
| DOI | 10.1109/NAFIPS.2010.5548197 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-12 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Acoustic emission Signal analysis Fuzzy logic Signal processing Uncertainty Fuzzy sets Condition monitoring Fuzzy systems Machining Acoustic signal detection fuzzy modeling type-2 fuzzy logic acoustic emission signal feature uncertainty |
| Content Type | Text |
| Resource Type | Article |
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