A Novel Method for Rotor Fault Diagnostics in Induction Motors using Harmonic Isolation

Panagiotis A. Panagiotou, Jonathan C. Mayo-Maldonado, Ioannis Arvanitakis, Gerardo Escobar, Jose A. Antonino-Daviu, Konstantinos N. Gyftakis

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

This paper presents a novel methodology for the detection and diagnosis of rotor faults in induction machines using signal estimation. The proposed approach is independent from the motor slip and relies on the isolation of main harmonics rather than on the investigation of signatures with traditional approaches such as the identification of fault-related sidebands. The method is applied on the stator line current capturing the transient nature of fault-related frequencies at the steady state. Thus, it enables a reliable diagnostic strategy by the isolated harmonics and their analysis over the time and frequency. The method's effectiveness was explored with electromagnetic simulations of two induction machines of different geometry, manufacture, and power scale. Then, the method was validated experimentally on a 1.1 kW induction motor.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023
EditorsLuca Zarri, Sang Bin Lee
PublisherIEEE
Pages265-271
Number of pages7
ISBN (Electronic)979-8-3503-2077-0, 979-8-3503-2076-3
ISBN (Print)979-8-3503-2078-7
DOIs
Publication statusPublished - 9 Oct 2023
Event14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives - Crete, Greece
Duration: 28 Aug 202331 Aug 2023

Conference

Conference14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Abbreviated titleSDEMPED 2023
Country/TerritoryGreece
CityCrete
Period28/08/2331/08/23

Keywords

  • induction motors
  • rotor faults
  • harmonic isolation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Computational Mechanics

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