power strongly signal is generated by flying the most important indicator

Warsaw University of Senkara, J established a joint flying spot prediction model, this model is based on the welding process, mechanical and metallurgical interaction considered. Calculated with    the model of electric spot welding and liquid melt strongly nuclear, when the latter than the former when flying, and the model validated by experiment, the effect is very good, the model can be used to guide the choice of electrode pressure [ 35]; American scholar Tang, H of the welding on the mechanical properties of resistance spot welding process and solder joint quality, of surface [36]: the stiffness and friction  welding the welding process and weld quality have a greater impact and the movement of inertia and the weld quality of the welding process does not produce a big impact; Danish scholar Wu, Pei that [37]: resistance welding machine welding machine dynamics reflect the quality and electrode life has a great influence, and therefore production and welding simulation must be considered, due to the complexity of the mechanical structure welding machine to simulate some of the correlation coefficient equation is difficult to obtain, test and MATLAB by the scholars calculated the parameters obtained.
cable trays wire mesh, cable tray accessories, metal cable tray
3.4 Neural Network Prediction of solder joint quality
University of Michigan Cho, Yongjoon other  scholars, in the assessment method with the dynamic resistance spot welding system, combined with Hopfield neural network theory to predict the quality of solder joints, the results obtained with the actual welding specimen has a tensile-shear strength good agreement [38]; Podrzaj, Primoz other scholars using LVQ (A linear vector quantization) neural network to detect the welding spatter of different materials [39], the results showed that: .