Reliable Flux based Detection of Rotor Cage Faults in Induction Motors

Sang Bin Lee, Jaehoon Shin, Yonghyun Park, Heonyoung Kim, Jongwan Kim

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

    3 Citations (Scopus)

    Abstract

    Although MCSA is widely applied in the field for remote, on-line detection of rotor cage faults in induction motors, many cases of false positive or negative indications leading to unnecessary inspection or forced outages are common. It was shown that alternative off-line or starting transient tests are immune to some of the false indications; however, a "reliable"method capable of detecting the fault "on-line"is needed. In this paper, a new fault indicator that can be extracted from the stray or airgap flux that can provide reliable, on-line detection is proposed. The 5th harmonic sideband of the rotor speed frequency is proposed as a reliable indicator of rotor faults that is immune to the most common false MCSA indications due to axial ducts, load torque oscillations, and non-adjacent broken bars. Test results are given to verify that the proposed fault indicator in the stray or airgap flux provides reliable detection of rotor faults for cases where MCSA fails. The proposed fault indicator is also shown to be immune to common mechanical faults such as airgap eccentricity, unbalance, or misalignment.

    Original languageEnglish
    Title of host publication2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2021
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages160-166
    Number of pages7
    ISBN (Electronic)9781728192970
    DOIs
    Publication statusPublished - 2021
    Event13th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2021 - Dallas, United States
    Duration: 2021 Aug 222021 Aug 25

    Publication series

    Name2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2021

    Conference

    Conference13th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2021
    Country/TerritoryUnited States
    CityDallas
    Period21/8/2221/8/25

    Bibliographical note

    Publisher Copyright:
    © 2021 IEEE.

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Mechanical Engineering
    • Safety, Risk, Reliability and Quality

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