Comparative Analysis of Characteristics of Multilayer Perceptron Neural Network for Induction Motor Fault Detection

Abstract

In the paper, induction motors faults are studied and detected with the use of Multilayer Perceptron neural network. Multilayer Perceptron neural network is trained and tested in this paper. Simple parameters like set of currents are taken as an input and fed to a Multilayer Perceptron neural network. Different parameters like Mean Square Error (MSE) are calculated and used for analysis of losses and hence faults.