Identification of weld defect through the application of denoising method to the sound signal acquired during pulse mode laser welding

• Main Authors: Yusof, M. F.M., Quazi, M. M., Aleem, S.A.A., Ishak, M., Ghazali, M. F.
• Format: Article
• Language: English; English
• Published: Springer Nature 2023
• Subjects: TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/38657/1/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired.pdf; http://umpir.ump.edu.my/id/eprint/38657/2/Identification%20of%20weld%20defect%20through%20the%20application%20of%20denoising%20method%20to%20the%20sound%20signal%20acquired%20during%20pulse%20mode%20laser%20welding.pdf; http://umpir.ump.edu.my/id/eprint/38657/; https://doi.org/10.1007/s40194-023-01472-z; https://doi.org/10.1007/s40194-023-01472-z

The use of a classification model derived from the analysis of sound signals has demonstrated significant success in detecting, identifying, and characterising the weld condition, but it is affected by the filtering technique. In spite of this, denoising the transient-type signals acquired from cert...