Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing
Joint Authors
Baron, Luc
Balazinski, Marek
Ren, Qun
Source
Modelling and Simulation in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents an application of type-2 fuzzy logic on acoustic emission (AE) signal modeling in precision manufacturing.
Type-2 fuzzy modeling is used to identify the AE signal in precision machining.
It provides a simple way to arrive at a definite conclusion without understanding the exact physics of the machining process.
Moreover, the interval set of the output from the type-2 fuzzy approach assesses the information about the uncertainty in the AE signal, which can be of great value for investigation of tool wear conditions.
Experiments show that the development of the AE signal uncertainty trend corresponds to that of the tool wear.
Information from the AE uncertainty scheme can be used to make decisions or investigate the tool condition so as to enhance the reliability of tool wear.
American Psychological Association (APA)
Ren, Qun& Baron, Luc& Balazinski, Marek. 2011. Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing. Modelling and Simulation in Engineering،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-491396
Modern Language Association (MLA)
Ren, Qun…[et al.]. Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing. Modelling and Simulation in Engineering No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-491396
American Medical Association (AMA)
Ren, Qun& Baron, Luc& Balazinski, Marek. Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing. Modelling and Simulation in Engineering. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-491396
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491396