Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network

网站地图 | English | 公务邮箱

About the library

Background
History
Leadership
Organization

Opening Hours
Collections
Help Via Email

Electronic Information Resources

Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network

详细信息查看全文

作者：Xiangdong Gao^a ; ^{gaoxd666@126.com" class="auth_mail" title="E-mail the corresponding author} ; Yuquan Chen^a ; Deyong You^a ; Zhenlin Xiao^b ; Xiaohui Chen^b
关键词：RBF neural network ; Seam tracking ; Magneto optical imaging ; Kalman filtering ; Micro gap weld
刊名：Mechanical Systems and Signal Processing
出版年：2017
出版时间：1 February 2017
年：2017
卷：84
期：part_PA
页码：570-583
全文大小：5151 K

文摘

•: An approach for seam tracking of micro-gap weld were built based on magneto optical imaging.
•: A Kalman filtering(KF) algorithm was applied to reduce the influence of magnetic field noises.
•: Radial basis function neural network was applied to compensate for KF error in welding process.

NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.