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

Jaehoon Shin, Yonghyun Park, Sang Bin Lee

    Research output: Contribution to journalArticlepeer-review

    52 Citations (Scopus)

    Abstract

    Motor current signature analysis (MCSA) has been accepted in the field as a reliable means of detecting faults in the rotor cage of 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 an alternative to replace or complement MCSA. Flux monitoring can provide a reliable means of detecting rotor faults since anomalies in the rotor magnetomotive force or airgap can be directly observed. In this article, a new method based on monitoring the attenuation of rotor rotational frequency sidebands in the flux spectra is proposed for reliable detection and classification of rotor cage and eccentricity faults. It is also shown that flux monitoring can provide detection of rotor faults that is insensitive to the load defects. An experimental study under controlled broken bar, eccentricity, misalignment, and load unbalance conditions are given to support the claims. The 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 the proposed flux monitoring method and existing methods (MCSA, vibration analysis) is also given.

    Original languageEnglish
    Article number9380953
    Pages (from-to)2471-2480
    Number of pages10
    JournalIEEE Transactions on Industry Applications
    Volume57
    Issue number3
    DOIs
    Publication statusPublished - 2021 May 1

    Bibliographical note

    Funding Information:
    Manuscript received October 30, 2020; revised December 28, 2020 and January 28, 2021; accepted March 14, 2021. Date of publication March 17, 2021; date of current version May 19, 2021. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant NRF-2019R1A2C1084104. Paper 2020-EMC-1597.R2, presented at the 2020 IEEE Energy Conversion Congress and Exposition, Detroit, MI, USA, Oct. 11–15, and approved for publication in the IEEE Transactions on Industry Applications by the Electric Machines Committee of the IEEE Industry Applications Society. (Corresponding author: Sang Bin Lee.) The authors are with the Department of Electrical Engineering, Korea University, Seoul 163-713, South Korea (e-mail: [email protected]; [email protected]; [email protected]).

    Publisher Copyright:
    © 1972-2012 IEEE.

    Keywords

    • Airgap flux
    • eccentricity
    • fault diagnostics
    • leakage flux
    • load unbalance
    • misalignment
    • search coil
    • spectral analysis
    • squirrel cage induction motor
    • vibration

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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