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 Gaoa ; gaoxd666@126.com" class="auth_mail" title="E-mail the corresponding author ; Yuquan Chena ; Deyong Youa ; Zhenlin Xiaob ; Xiaohui Chenb
- 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
- listitem" id="list_li0005">
- •
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.