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Fuzzy identification of cutting acoustic emission with extended subtractive cluster analysis
Authors:Qun Ren  Luc Baron  Marek Balazinski
Institution:(1) College of Mechanical Engineering, Donghua University, 1882# west Yan’an Road, Shanghai, 200051, People’s Republic of China
Abstract:This paper presents fuzzy acoustic emission identification in high precision hard turning process based on extended subtractive cluster analysis combined with the least-square estimation method. The fuzzy identification method provides a simple way to arrive at a definite conclusion based upon the information obtained with the difficulty in understanding the exact physics of the machining process. The experimental results prove that the proposed method is efficient and feasible.
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