Analytical Expressions of Isolation Indicators for Permanent-Magnet Synchronous Machines Under Stator Short-Circuit Faults

Yuxue Ge, Bifeng Song, Yang Pei, Yves A.B. Mollet, Johan J.C. Gyselinck

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

This paper proposes new analytical expressions of indicators for inter-turn and phase-to-phase short-circuit fault diagnosis in permanent-magnet synchronous machines. The proposed indicators are deduced from symmetrical components of phase currents in the \alpha \beta reference frame. They are able to reflect the fault severity and location, are independent from the electrical pulsation and the rotor initial angle, and are robust regarding the loss of some measurements. Hence, they can be used for fault isolation and identification. Experimental tests have been carried out and show promising results. Furthermore, the presented algorithm does not use fast Fourier transforms and, therefore, avoids delays in fault isolation inherent to this technique.

Original languageEnglish
Article number8510860
Pages (from-to)984-992
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume34
Issue number2
DOIs
StatePublished - Jun 2019

Keywords

  • fault diagnosis
  • inter-turn short-circuit
  • Permanent-magnet synchronous machine
  • phase-to-phase short-circuit

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