Electrical Fault Detection for Industry 4.0 using Fusion deep Learning Algorithm

In this paper, problems found in electrical power transmission lines are looked into and put into groups with the help of artificial neural networks. An idea is floating around for a method that uses the three-phase currents and the voltage at one end as inputs. In this process, both the feedforward neural network and the back propagation method are used. Both approaches have the ability to find errors in a system and put them into classes. So that it could be sure that the decision made by the neural network was the best one, a thorough analysis was done with a lot of different ways to set up the number of hidden layers. To design a smart model Electrical Fault Detection for Industry 4.0 using Fusion deep Learning Algorithm Simulations have shown that a neural network can reliably find and classify problems in transmission lines.