Reliable Airgap Search Coil based Detection of Induction Motor Rotor Faults under False Negative MCSA Indications

Muhammad S. Rafaq, Muhammad Faizan Shaikh, Yonghyun Park, Sang Bin Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Motor current signature analysis (MCSA) has become the most widespread test for detecting rotor cage faults as it can provide remote, on-line monitoring. Although MCSA has been successful, many cases of false indications have been reported in the field. False negative indications, where MCSA fails to detect the fault due to load variation, low slip operation, error in speed estimate, and non-adjacent broken bars, is considered serious as it can lead to unexpected motor failure. This has triggered research on alternative monitoring techniques for reliable detection of rotor faults with flux monitoring being one of them. In this paper, a new test method based on time-frequency analysis of the airgap flux is proposed and verified. Experimental test results are given under load variation, low slip, and non-adjacent broken bar conditions to support the claims on the reliability of the proposed method for cases where MCSA produces false negative indications.

Original languageEnglish
JournalIEEE Transactions on Industrial Informatics
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Airgap Flux
  • Condition Monitoring
  • False Indication
  • Fault Detection
  • Induction Motors
  • Predictive Maintenance
  • Reliability
  • Rotors
  • Spectral Analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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