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K. Watanabe, H. Uwano, and H. Fukuoka, "Comparison of Algorithm and Kernel Accuracy in Defect Detection Using Pressure in Sleeve Soldering Equipment," In In The 8th International Conference on Robotics, Control and Automation (ICRCA 2024), 2024. | |
ID | 223 |
分類 | 国際会議 |
タグ | accuracy algorithm comparison defect detection equipment kernel pressure sleeve soldering |
表題 (title) |
Comparison of Algorithm and Kernel Accuracy in Defect Detection Using Pressure in Sleeve Soldering Equipment |
表題 (英文) |
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著者名 (author) |
Kan Watanabe,Hidetake Uwano,Hiroshi Fukuoka |
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書籍・会議録表題 (booktitle) |
In The 8th International Conference on Robotics, Control and Automation (ICRCA 2024) |
書籍・会議録表題(英文) |
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出版元 (英文) |
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出版社住所 (address) |
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刊行月 (month) |
0 |
出版年 (year) |
2024 |
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内容梗概 (abstract) |
As the degree of device integration increases, detecting soldering defects on electronic boards becomes more complex, and the need for automatic inspection increases. In this study, we propose a method for distinguishing the quality of soldering for sleeve-soldering equipment. The object to be soldered is covered with a heated sleeve, and the solder pieces dropped in the sleeve are melted for soldering. Nitrogen gas is injected into the sleeve, and the pressure inside the sleeve changes as the solder pieces melt and flow into the through-hole. The proposed method identifies the quality of the solder using the features extracted from the pressure change. We compare the prediction accuracy when applying multiple kernels to the support vector machine (SVM) and relevance vector machine (RVM). The experimental results show that the Polynomial kernel of the SVM exhibits the best performance with an average accuracy of 100% and average False Negative of 0%. |
論文電子ファイル | desc (application/pdf) [一般閲覧可] |
BiBTeXエントリ |
@inproceedings{id223, title = {Comparison of Algorithm and Kernel Accuracy in Defect Detection Using Pressure in Sleeve Soldering Equipment}, author = {Kan Watanabe and Hidetake Uwano and Hiroshi Fukuoka}, booktitle = {In The 8th International Conference on Robotics, Control and Automation (ICRCA 2024)}, month = {0}, year = {2024}, } |