A Distributed Intelligent Monitoring System Applied to a Micro-scale Turning Process

被引：0
|
作者：
del Toro, Raul M. [1 ]
Haber, Rodolfo E. [1 ]
Schmittdiel, Michael [1 ]
机构：
[1] CSIC, Inst Automat Ind, Madrid 28500, Spain
来源：
DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS | 2009年 / 5518卷
关键词：
fuzzy modeling; intelligent distributed networked monitoring system; ultra-precision diamond turning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a distributed intelligent monitoring system for a micro-scale turning process is presented. A fuzzy model, running on a distributed architecture, helps on decision-making about the imbalance degree of the spindle in the ultra-precision diamond turning process. The suitability of a three-input/single-output fuzzy model is assessed directly on an ultra-precision lathe, verifying it effectiveness. A brief explanation of the single point diamond turning process and problems caused by the vibrations generated due to the imbalance of the spindle, are also presented. Real-time application of the fuzzy decision making, as part of a networked distributed monitoring system, assists the operator when manufacturing complex parts.
引用
收藏
页码：338 / 345
页数：8
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