Wire arc additive metal manufacturing (WAAM) is one of the most revolutionary and popular
manufacturing processes. However, the poor quality is an important factor restricting the …

Magnetooptical nondestructive inspection (MONDI) is widely used in various industries to
detect defects in metal including ferromagnetic materials. Despite its high precision and …

In automated magnetic flux leakage (MFL) applications, the defect location on the
nearside/backside of the tested specimen is often unknown, posing challenges for …

Improving the visual effect of welding defect detection is a key research area of magneto-
optical imaging nondestructive testing technology. Finite element analysis and magneto …

Sažetak The surface defects of automobile door seals are mainly detected manually at
present, which is costly and has low efficiency. Therefore, a deep learning automatic …

A novel multi-directional eddy current thermography (ECT) system is presented generating
sets of directional phase images that have been fused with a processing pipeline allowing …

This paper proposes a machine-learning-based methodology to automatically classify
different types of steel weld defects, including lack of the fusion, porosity, slag inclusion, and …

In recent years, the rotating electromagnetic field eddy current (RoFEC) testing technique
has attracted widespread attention due to its various advantages for inspecting tubular …

Aiming at the difficult to detect invisible weld defects, a magneto-optical (MO) imaging non-
destructive testing (NDT) system excited by an alternating magnetic field is proposed for …

This paper develops an integrative scheme combining new image acquisition, filtering and
enhancement methods specified for orthogonal weld defect detection based on magneto …