The Detection of Inter-Turn Shorting in Induction Motor by Means of Using Algorithm of Decision Tree

This article presents a new method of identification of inter-turn shorting for a model of induction motor. Analysis of the tested signals executed by means of discrete wavelet transformation was used in the diagnostics procedure using the algorithm of the decision tree. The obtained results of test simulations for five important state variables describing physical quantities show the effectivity and sensitivity of the proposed approach during changes of load current in the tested model of induction motor.