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

• Main Authors: Aleem, S.A.A., Mohd Fadhlan, Mohd Yusof, M., Ishak, F. R. M., Romlay, I., Ishak
• Format: Article
• Language: English
• Published: Elsevier Ltd 2025
• Subjects: TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: 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

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...