Data mining applied to wire-EDM process

被引：47

作者：

Kuriakose, S ^{[1
]}

Mohan, K ^{[1
]}

Shunmugam, MS ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Engn Mech, Mfg Engn Sect, Madras 600036, Tamil Nadu, India

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2003年 / 142卷 / 01期

关键词：

Wire-EDM; modeling; data mining; machine learning;

D O I：

10.1016/S0924-0136(03)00596-X

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Wire-EDM is a highly complex process, which is characterized by non-linear behavior. Due to a large number of input parameters, a data mining approach based on machine learning is followed in this paper to model this process. The model was trained on experimental data collected from carefully conducted experiments. The model was also tested on additional data. It is found that the model built using data mining provides results with desired accuracy. The important parameters have been identified and reported. (C) 2003 Elsevier Science B.V. All rights reserved.

引用

页码：182 / 189

页数：8

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