Automated Identification of Failures in Doubly-Fed Induction Generators for Wind Turbine Applications

Byambasuren Battulga, Muhammad Faizan Shaikh, Sang Bin Lee, Mohamed Osama

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Remote, automated monitoring of wind generators is crucial considering that wind turbines are prone to failure due to the harsh operating environment, and difficult to access or test due to the remote location of wind turbines. The demand for condition monitoring of wind generators is increasing with the rapid growth in wind power generation. In this work, a new inverter-embedded off-line test concept for automated testing of doubly-fed induction generators (DFIG) is proposed for detection and classification of defects in the 1) slip ring-brush contact, 2) rotor winding turn insulation, and 3) stator core inter-laminar insulation. The main idea is to use the rotor side inverter for injecting test signals into the rotor winding for detecting asymmetry in the machine, whenever the DFIG is at standstill. The pattern of asymmetry in the equivalent impedance as a function of angle is analyzed for identifying the presence and type of DFIG fault at an early stage for efficient scheduling of maintenance. Experimental verification is given to show that the proposed test provides a simple means of identifying DFIG faults with high sensitivity and reliability without additional hardware.

Original languageEnglish
Pages (from-to)4454-4463
Number of pages10
JournalIEEE Transactions on Industry Applications
Issue number4
Publication statusPublished - 2023 Jul 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Korea Government, MSIT, under Grant RS-2023-00207945.

Publisher Copyright:
© 1972-2012 IEEE.


  • Doubly-fed induction generator
  • fault diagnostics
  • insulation testing
  • off-line testing
  • remote monitoring
  • voltage source inverter
  • wind power generation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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