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Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines

Abstract : The aim of this paper is to detect a stator inter-turn short circuit in a synchronous machine through the analysis of the external magnetic field measured by external flux sensors. The paper exploits a methodology previously developed, based on the analysis of the behavior with load variation of sensitive spectral lines issued from two flux sensors positioned at 180° from each other around the machine. Further developments to improve this method were made, in which more than two flux sensors were used to keep a good sensitivity for stator fault detection. The method is based on the Pearson correlation coefficient calculated from sensitive spectral lines at different load operating conditions. Fusion information with belief function is then applied to the correlation coefficients, which enable the detection of an incipient fault in any phase of the machine. The method has the advantage to be fully non-invasive and does not require knowledge of the healthy state.
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Contributor : Remus Pusca Connect in order to contact the contributor
Submitted on : Thursday, May 19, 2022 - 10:24:42 PM
Last modification on : Wednesday, May 25, 2022 - 12:38:02 PM

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Miftah Irhoumah, Remus Pusca, Eric Lefèvre, David Mercier, Raphael Romary. Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines. Electronics, 2021, 10 (18), pp.2313. ⟨10.3390/electronics10182313⟩. ⟨hal-03673193⟩



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