Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines
1
UR 4025, Laboratoire Systèmes Electrotechniques et Environnement (LSEE), Artois University, F-62400 Béthune, France
2
UR 3926, Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A), Artois University, F-62400 Béthune, France
*
Author to whom correspondence should be addressed.
Academic Editor: Marcin Witczak
Electronics 2021, 10(18), 2313; https://doi.org/10.3390/electronics10182313
Received: 29 July 2021
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Revised: 4 September 2021
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Accepted: 9 September 2021
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Published: 20 September 2021
(This article belongs to the Special Issue Fault Diagnosis and Prognosis of Mechatronic Systems Using Artificial Intelligence and Estimation Theory)
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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Keywords:
synchronous machines; correlation coefficient; external magnetic field; fault diagnostic; information fusion; inter-turn short circuit
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MDPI and ACS Style
Irhoumah, M.; Pusca, R.; Lefèvre, E.; Mercier, D.; Romary, R. Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines. Electronics 2021, 10, 2313. https://doi.org/10.3390/electronics10182313
AMA Style
Irhoumah M, Pusca R, Lefèvre E, Mercier D, Romary R. Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines. Electronics. 2021; 10(18):2313. https://doi.org/10.3390/electronics10182313
Chicago/Turabian StyleIrhoumah, Miftah, Remus Pusca, Eric Lefèvre, David Mercier, and Raphael Romary. 2021. "Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines" Electronics 10, no. 18: 2313. https://doi.org/10.3390/electronics10182313
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