Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing | Zendy

Qun Ren | Zendy; Luc Baron | Zendy; Marek Balazinski | Zendy

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Type-2 Fuzzy Modeling for Acoustic Emission Signal in Precision Manufacturing

Author(s) -

Qun Ren,

Luc Baron,

Marek Balazinski

Publication year - 2011

Publication title -

modelling and simulation in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 20

eISSN - 1687-5591

pISSN - 1687-5605

DOI - 10.1155/2011/696947

Subject(s) - acoustic emission , signal (programming language) , fuzzy logic , machining , interval (graph theory) , reliability (semiconductor) , set (abstract data type) , process (computing) , fuzzy set , computer science , engineering , algorithm , mechanical engineering , acoustics , mathematics , artificial intelligence , physics , power (physics) , combinatorics , quantum mechanics , programming language , operating system

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

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