Data mining algorithms in the task of diagnosing the welded joints quality

Abstract

The paper discusses the issue of creating an intelligent diagnostic system for welded joints based on the radiographic method. This will speed up the process of decoding radiographic images and reduce the number of errors associated with human factors, since at this time most of the work on decoding images is done manually. The goal of the work is to develop an intelligent system for finding defects in a welded joint in a radiographic image using neural networks. The obtained results are the algorithm of operation of the intelligent diagnostic system for welded joints based on the radiographic method, a trained neural network for detecting defects of welded joints. Data Science R R Akhmedyanov, K F Tagirova, A M Vulfin, V V Berkholts and R Ch Gayanov V International Conference on "Information Technology and Nanotechnology" (ITNT-2019) 464 2. Development of the structure of the system for detecting defects of welded joints based on image analysis Radiographic control (Radio-graphic method of NDT) is a method of radiation non-destructive testing (NTD), based on the transformation of the image of the monitored object into a radiographic image or recording of this image on a memory device and subsequent conversion to a light image [1, 18]. Radiographic control is carried out in order to identify surfacing and welded joints (seam and heataffected zone): cracks;  lack of fusion;  pores;  metal and non-metallic inclusions, the density of which differs from the density of the welded joint metal (tungsten, slag, oxide, etc.);  inaccessible for external inspection of undercuts, burn-throughs, etc. [2]. The process of radiographic inspection of a welded joint is shown in Figure 1.  analysis of signals characterized by a high degree of uncertainty, e.g., "non-stochastic" type, which includes most biomedical signals, including EСS;  increasing the level of intelligent assistance of medical specialists;  revealing hidden regularities and extracting new knowledge from the accumulated data, which will allow to build production systems of explaining the diagnostic solutions. The process of radiographic inspection of a welded joint is shown in Figure 1.Data Science R R Akhmedyanov, K F Tagirova, A M Vulfin, V V Berkholts and R Ch Gayanov V International Conference on "Information Technology and Nanotechnology" (ITNT-2019) 465