Abstract GMAW (Gas Metal Arc Welding) is widely applied industrially in ferrous and non-
ferrous materials. The interrelation of its initial and final parameters of GMAW process has a …

During machine learning algorithms, deep learning refers to a neural network containing
multiple hidden layers. Welding research based upon deep learning has been increasing …

In view of the following problems existed in the data-driven resistance spot welding (RSW)
quality judgment methods: relying on expert experience, resulting in a high misjudgment …

Arc welding, due to its simplicity, ease of use and low maintenance cost is one of the most
widely used welding process in almost all types of modern industries. In this process …

With the development of deep learning technology, research on classification and
regression models on welding phenomena using convolution neural networks (CNNs) are …

A convolutional neural network (CNN) learning structure is proposed, with added
interpretability-oriented layers, in the form of Fuzzy Logic-based rules. This is achieved by …

Deflectometric techniques provide abundant information useful for aesthetic defect
inspection in specular and glossy/shinny surfaces. A series of light patterns is observed …

Abstract Information contributes to the improvement of decision-making, process
improvement, error detection, and prevention. The new requirements of the coming Industry …

A convolutional neural network (CNN) learning structure is proposed, with added
interpretability-oriented layers, in the form of Fuzzy Logic-based rules. This is achieved by …

Aiming at the influencing factors of spot welding quality and the shortcomings of the method
of judging the spot welding quality based on the monitoring waveform curves: it is …