Publication: Design the Feature Extraction for Real Time Inspection of Welding Quality
Issued Date
2019-01-22
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2-s2.0-85062593478
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Mahidol University
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SCOPUS
Bibliographic Citation
TIMES-iCON 2018 - 3rd Technology Innovation Management and Engineering Science International Conference. (2019)
Suggested Citation
Eakkachai Warinsiriruk, Fuad Mahfudianto Design the Feature Extraction for Real Time Inspection of Welding Quality. TIMES-iCON 2018 - 3rd Technology Innovation Management and Engineering Science International Conference. (2019). doi:10.1109/TIMES-iCON.2018.8621641 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/50454
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Title
Design the Feature Extraction for Real Time Inspection of Welding Quality
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Abstract
© 2018 IEEE. The objective of this study is to design the feature extraction (time-frequency domain analysis) for detecting the mock-up weld defects (normal, porosity, irregular weld bead, and incomplete filling groove) in real-time at GMAW. Welch algorithm was implemented and improved for welding quality inspection by dividing into six frequency bands with a satisfactory sample size (512 samples/second). Frequency band 2 (frequency ranges 26-52 Hz) was selected for designing the internet of things (IoT) welding embedded system by proving the most sensitive to detect the mock-up weld defects.