Three-phase electric motor isolation diagnosis modelling caused unbalance voltage using radial basis function network

One of the Diagnoses of three-phase electric motor isolation is caused by unbalanced voltage. The National Electrical Manufacturers Association (NEMA) standard for unbalanced voltage is 1%. The diagnosis of electric motor isolation is too complex to be modelled in mathematical form. Therefore, this paper proposes to model the electric motor isolation caused by unbalanced voltage using the Radial Basis Function Network (RBFN). RBFN is implemented for training and testing data with input variations number of unbalanced voltages, running hours, voltage, current, temperature, rotation speed, and output variations number of insulation resistance. The modelling process is comparing the number of neurons and the learning rate to get accuracy and speed of time. The results of modelling using RBFN obtained Mean Square Error (MSE) of 7.86E-14 and this method is very well applied for diagnosis of three-phase electric motor isolation modelling caused unbalance voltage.