Reliable Flux-Based Detection of Induction Motor Rotor Faults from the Fifth Rotor Rotational Frequency Sideband

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Motor current signature analysis (MCSA) is widespread in the field as a means of providing remote, online monitoring of industrial induction motor rotor faults. However, numerous cases of false indications with MCSA produced due to asymmetries in the rotor structure or load leading to unnecessary inspection or forced outages have been reported. Although alternative test methods under motor standstill or starting transient immune to the false indications have been proposed, a reliable method capable of 'online' monitoring is desirable. In this article, a new fault indicator in the airgap or stray flux capable of reliable online detection is proposed. It is shown that the fifth sideband of the rotor rotational speed frequency can provide detection of rotor faults immune to most of the false MCSA indications. Experimental results under the most common false indications are provided to verify the claims made for cases where online MCSA produces false indications. The proposed fault indicator is also shown to be immune to eccentricity and common load defects such as load unbalance and misalignment.

Original languageEnglish
Article number9172040
Pages (from-to)7874-7883
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume68
Issue number9
DOIs
Publication statusPublished - 2021 Sep

Keywords

  • Airgap flux
  • fault diagnosis
  • induction motor
  • motor current signature analysis (MCSA)
  • rotor fault
  • search coil
  • spectral analysis
  • stray flux

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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