Enhancement of weld penetrations classification model performance through the implementation of denoising methods towards the acquired acoustic and optical signals during laser beam welding process
The increased demand for predictive monitoring in Laser Beam Welding (LBW) process for quality management of the welded joint has led to the development of systems utilizing various signals with the combination of acoustic and optical signals being particularly cost-effective and less complex. Howev...
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| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier Ltd
2025
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/43613/1/Enhancement%20of%20weld%20penetrations%20classification%20model%20performance.pdf http://umpir.ump.edu.my/id/eprint/43613/ https://doi.org/10.1016/j.apacoust.2024.110503 https://doi.org/10.1016/j.apacoust.2024.110503 |
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