Stray Flux Monitoring for Reliable Detection of Rotor Faults under the Influence of Rotor Axial Air Ducts

Yonghyun Park, Chanseung Yang, Jongwan Kim, Heonyoung Kim, Sang Bin Lee, Konstantinos N.N. Gyftakis, Panagiotis Panagiotou, Shahin Hedayati Kia, Gerard Andre Capolino

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis (MCSA), the lack of “remote” monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults is evaluated in this paper. It is shown for the first time in this work that spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux based rotor fault detection is demonstrated through experimental testing on laboratory and 6.6 kV field motors.

Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
Publication statusAccepted/In press - 2018 Jan 1


  • Ducts
  • Electrical Fault Detection
  • False Alarms
  • Fault detection
  • Fault Diagnosis
  • Flux Signature Analysis
  • Induction Motor
  • Induction motors
  • Monitoring
  • Motor Current Signature Analysis (MCSA)
  • Reliability
  • Rotor Fault
  • Rotors
  • Spectral Analysis
  • Stators
  • Stray flux

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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