Short-time fourier transform and neural network analysis for welding defect classification based on current signal features

Welding quality plays a critical role in ensuring structural integrity and safety across manufacturing industries. This study introduces a signal-based approach for classifying welding defects by analyzing welding current signals using time-frequency analysis. The Short-Time Fourier Transform (STFT)...

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Bibliographic Details

Main Authors:	Afidatusshimah, Mazlan, Hamdan, Daniyal, Mahadzir, Ishak@Muhammad, Mohd Herwan, Sulaiman, Siti Dhamirah 'Izzati, Damni
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE Xplore 2025
Subjects:	TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/46160/1/Short%20Time%20Fourier%20Transform%20and%20Neural%20Network%20Analysis%20for%20Welding%20Defect%20Classification%20Based%20on%20Current%20Signal%20Features_3474.pdf https://umpir.ump.edu.my/id/eprint/46160/ https://doi.org/10.1109/InECCE64959.2025.11150835
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