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http://dx.doi.org/10.23087/jkicsp.2021.22.4.006

Software Implementation of Welding Bead Defect Detection using Sensor and Image Data  

Lee, Jae Eun (Dept. of IT Convergence & Applications Engineering, Pukyong National University)
Kim, Young-Bong (Dept. of IT Convergence & Applications Engineering, Pukyong National University)
Kim, Jong-Nam (Dept. of IT Convergence & Applications Engineering, Pukyong National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.22, no.4, 2021 , pp. 185-192 More about this Journal
Abstract
Various methods have been proposed to determine the defect detection of welding bead, and recently sensor data and image data inspection have been steadily announced. There are advantages that sensor data inspection is highly accurate, and two-dimensional-based image data inspection is able to determine the position of the welding bead. However, when analyzing only with sensor data, it is difficult to determine whether the welding has been performed at the correct position. On the other hand, the image data inspection does not have high accuracy due to noise and measurement errors. In this paper, we propose a method that can complement the shortcomings of each inspection method and increase its advantages to improve accuracy and speed up inspection by fusing sensor data inspection which are average current, average volt, and mixed gas data, and image data inspection methods and is implemented as software. In addition, it is intended to allow users to conveniently and intuitively analyze and grasp the results by performing analysis using a graphical user interface(GUI) and checking the data and inspection results used for the inspection. Sensor inspection is performed using the characteristics of each sensor data, and image data is inspected by applying a morphology geodesic active contour algorithm. The experimental results showed 98% accuracy, and when performing the inspection on the four image data, and sensor data the inspection time was about 1.9 seconds, indicating the performance of software that can be used as a real-time inspector in the welding process.
Keywords
welding bead; sensor data; image data; active contour; graphical user interface;
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