A BACKPROPAGATION ALGORITHM APPLIED TO TOOL WEAR MONITORING

被引：53

作者：

PURUSHOTHAMAN, S

SRINIVASA, YG

机构：

[1] Precision Engineering and Instrumentation Laboratory, Department of Mechanical Engineering, Indian Institute of Technology, Madras

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1994年 / 34卷 / 05期

关键词：

603 Machine Tools - 604 Metal Cutting and Machining - 723 Computer Software; Data Handling and Applications - 921 Mathematics;

D O I：

10.1016/0890-6955(94)90047-7

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, a distributed neural network has been applied to a pattern recognition problem for classification of tool wear in a turning operation to discriminate between a worn-out tool and a fresh tool. A multilayered perceptron with back-propagation algorithm has been used. The network was trained off-line using 30 patterns each of six inputs. Using the weights obtained during training, fresh patterns were tested. Results for six fresh patterns are presented.

引用

页码：625 / 631

页数：7

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