Online Airgap Flux Based Diagnosis of Rotor Eccentricity and Field Winding Turn Insulation Faults in Synchronous Generators

Muhammad Faizan Shaikh, Hanju Kim, Sang Bin Lee, Chaewoon Lim

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Rotor faults in a synchronous generator severely deteriorate its performance, reducing the operation efficiency and reliability. Most of the field-wide accepted methods require stoppage of generator operation and disassembly, and online diagnosis of rotor faults is difficult due to the lack of dependable online methods for sensitive rotor fault detection. Therefore, online methods that can reliably and unambiguously detect rotor field winding and eccentricity faults before they lead to machine failure are required. In this paper, a new method is presented for detecting and distinguishing rotor field winding insulation and eccentricity faults online during synchronous generator operation based on measurements from airgap flux probes, which are installed in most synchronous generators. A non-complex, time domain analysis method is proposed which makes use of the voltage induced in the airgap flux sensor for a reliable prediction of the presence and identification of rotor field winding turn insulation failure and rotor dynamic eccentricity. The method is tested and verified experimentally on a 5 hp synchronous generator and on measurements from a 330 MW pumped storage generator.

Original languageEnglish
JournalIEEE Transactions on Energy Conversion
Publication statusAccepted/In press - 2021

Bibliographical note

Publisher Copyright:


  • Circuit faults
  • Couplings
  • Generators
  • Insulation
  • Rotors
  • Stator windings
  • Synchronous generator
  • Windings
  • airgap flux
  • eccentricity
  • fault diagnostics
  • field winding
  • online condition monitoring

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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