Fuzzy identification of cutting acoustic emission with extended subtractive cluster analysis

被引：19

作者：

Ren, Qun ^{[1
]}

Baron, Luc ^{[1
]}

Balazinski, Marek ^{[1
]}

机构：

[1] Ecole Polytech, Dept Mech Engn, Montreal, PQ H3C 3A7, Canada

来源：

NONLINEAR DYNAMICS | 2012年 / 67卷 / 04期

关键词：

Fuzzy identification; Subtractive clustering; Precision machining; Acoustic emission; Tool wear; TOOL-WEAR; SYSTEM; TRANSFORM; NETWORKS;

D O I：

10.1007/s11071-011-0173-5

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：2599 / 2608

页数：10

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