Wire arc additive manufacturing technology (WAAM) has become a very promising
alternative to high-value large metal components in many manufacturing industries. Due to …

Weld defect detection is a crucial aspect for improving the productivity and quality of the
welding process. Several non-destructive methods exist for the identification of defects post …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

Automatic visual recognition of steel surface defects provides critical functionality to facilitate
quality control of steel strip production. In this paper, we present a compact yet effective …

This paper presents a method for the automatic detection and classification of defects in
radiographic images of welded joints obtained by exposure technique of double wall double …

In this paper, a method for the detection and classification of defects in weld radiographs is
presented. The method has been applied for detecting and discriminating discontinuities in …

Defect detection and classification of ceramic tile surface defects occurred in firing units are
usually performed by human observations in most factories. In this paper, an automatic …

Feature extraction and feature selection are vital steps to construct an intelligent diagnosis
system for classifying the weld flaws from an X-ray image. Deep learning has been …

Zn vapour is easily generated on the surface by fusion welding galvanized steel sheet,
resulting in the formation of defects. The present study develops a novel method for …

Welding is one of the major joining processes employed in fabrication industry, especially
one that manufactures boiler, pressure vessels, marine structure etc. Control of weld quality …