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

EasyChair Preprint 6887

Abstract

This article presents new method of identification of inter-turn shorting for model of induction motor. Analysis of the tested signals executed by means of discrete wavelet transformation was used in diagnostics procedure using algorithm of 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 tested model of induction motor

Keyphrases: Decision Tree, Induction motor, inter-turn shorting, stator winding, wavelet transformation

@booklet{EasyChair:6887,
  author    = {Maciej Sułowicz and Ryszard Mielnik and Marcin Tomczyk},
  title     = {The Detection of Inter-Turn Shorting in Induction Motor by Means of Using Algorithm of Decision Tree},
  howpublished = {EasyChair Preprint 6887},
  year      = {EasyChair, 2021}}