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- W2914448737 abstract "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." @default.
- W2914448737 created "2019-02-21" @default.
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- W2914448737 date "2018-12-01" @default.
- W2914448737 modified "2023-09-26" @default.
- W2914448737 title "Design the Feature Extraction for Real Time Inspection of Welding Quality" @default.
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- W2914448737 doi "https://doi.org/10.1109/times-icon.2018.8621641" @default.
- W2914448737 hasPublicationYear "2018" @default.
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