Flux-based Detection and Classification of Induction Motor Eccentricity, Rotor Cage, and Load Defects

Jaehoon Shin, Yonghyun Park, Sang Bin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Motor current signature analysis (MCSA) has been accepted in the field as a reliable means of detecting rotor cage faults in induction motors. However, there are many limitations to MCSA-based detection for other types of faults including rotor eccentricity and load defects. Recently, there has been increasing interest in airgap or leakage flux monitoring as a low cost alternative to replace or complement MCSA. Flux monitoring can provide a reliable means of detecting rotor faults since anomalies in the rotor magneto-motive force or airgap can be directly measured. In this paper, a new method based on monitoring the attenuation of rotor rotational frequency sidebands in the flux spectrum is proposed for reliable detection and classification of rotor cage and eccentricity faults. It is also shown that flux monitoring can provide reliable detection of rotor faults independent of load defects. An experimental study under controlled broken bar, eccentricity, misalignment, and load unbalance conditions are given to support the claims. The test results show that rotor cage, eccentricity, and load defects can be detected and distinguished for cases where MCSA alone is ineffective. A comparative evaluation between conventional and proposed flux monitoring methods is also given.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4491-4498
Number of pages8
ISBN (Electronic)9781728158266
DOIs
Publication statusPublished - 2020 Oct 11
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 2020 Oct 112020 Oct 15

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period20/10/1120/10/15

Keywords

  • Airgap Flux
  • Eccentricity
  • Fault Diagnostics
  • Leakage Flux
  • Load Unbalance
  • Misalignment
  • Search Coil
  • Spectral Analysis
  • Squirrel Cage Induction Motor
  • Vibration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology

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