The Monitoring of CNC Machine Processing Condition Based on the BP Neural Network

被引：0

作者：

Sheng, Zhongqi ^{[1
]}

Wang, Jianyong ^{[1
]}

Liu, Zhipeng ^{[1
]}

Dong, Liang ^{[1
]}

机构：

[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Peoples R China

来源：

AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2 | 2012年 / 542-543卷

关键词：

Ubiquitous manufacturing; Processing condition monitoring; CNC machine tools; BP neural network; Tool wear;

D O I：

10.4028/www.scientific.net/AMR.542-543.95

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As an example for the test of built monitoring system, the experimentation was carried out to monitor the condition of tool wear, which related with the machining process closely. In pattern recognition, using the nonlinear mapping function of neural network, a three-layer BP artificial neural network was selected to carry out the mapping between the processing status and related signal features. In this way, the monitoring of machining processing was implemented. The Matlab Script node of LabVIEW software was used to call the neural network package of Matlab, which reduced the program development cycle and increased the reliability of the program. According to the cutting experimentation of the finger milling cutter, it is verified that BP artificial neural network can effectively recognize the tool condition and accomplish the wear prediction.

引用

页码：95 / 98

页数：4

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