Development of Virtual Milling System Using Data Fusion and Transfer Learning

We Feng Kuo, Bo Min Huang, Ching Hung Lee*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

This study designs the virtual milling system to estimate the practical milling accuracy and surface roughness. Since it is difficult to collect large number of measured data from milling, we collect the data is with milling and data without milling by experiment design. The proposed virtual milling system has the ability to find the relationship between computer numerical control (CNC) milling parameters and performance indexes, we utilize the back propagation neural network (BPNN) to establish the first stage virtual milling system by calculated data (without milling), then fuse the practical milling data by transfer learning approach. Finally, the experimental results are shown to demonstrate the performance of the virtual milling system.

原文English
主出版物標題Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面253-257
頁數5
ISBN(電子)9781665404839
DOIs
出版狀態Published - 12月 2020
事件1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 - Taipei, Taiwan
持續時間: 3 12月 20205 12月 2020

出版系列

名字Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020

Conference

Conference1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020
國家/地區Taiwan
城市Taipei
期間3/12/205/12/20

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