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The innovative method for weld defect classification based on rough set theory is presented in this study. The classification rules have been generated by processing of data base composed of 640 radiographic images referring to certain welding process in aircraft industry. The obtained accuracy of defect identification (from 88% up to 100%, depending on class of defect and choice of classifier) can be evaluated as at least competitive or even better one comparing to results referring to other type of frequently "exploited" classifiers, those mentioned in attached overview section. The identification of weld defects is the final operation which is premised by complicated "chain" of consecutive operations transforming primary radiographs to the form enabling calculation of conditional attributes. That is why brief description of process of transformation of primary radiographs to the forms which are suitable for attributes calculation is included in the paper.

Purpose – The purpose of this paper is to describe a multisource system for nondestructive inspection of welded elements exploited in aircraft industry developed in West Pomeranian University of Technology, Szczecin in the frame of CASELOT project. The system task is to support the operator in flaws identification of welded aircraft elements using data obtained from X-ray inspection and 3D triangulation laser scanners. Design/methodology/approach – For proper defects detection a set of special processing algorithms were developed. For easier system exploitation and integration of all components a user friendly interface in LabVIEW environment was designed. Findings – It is possible to create the fully independent, intelligent system for welds’ flaws detection. This kind of technology might be crucial in further development of aircraft industry. Originality/value – In this paper a number of innovative solutions (new algorithms, algorithms’ combinations) for defects’ detection in welds are presented. All of these solutions are the basis of presented complete system. One of the main original solution is a combination of the systems based on 3D triangulation laser scanner and X-ray testing.