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Communication Dans Un Congrès Année : 2017

Open-phase fault detection using vibrations in five-phase flux switching machine

Résumé

In this paper two multiphysics models are performed in order to predict vibration behavior in a five-phase flux switching machine. Radial magnetic stress is calculated using both analytical model obtained by permeance network and finite element model. In order to evaluate stator radial accelerations, each of the two magnetic models are coupled with an analytical mechanical model to diagnose faulty conditions. Finally, experimental measurements are compared with theoretical results in order to validate two multiphysics models. Experimental measurements are performed for healthy machine and both open-phase and partial open-phase of the stator winding at fixed rotational speed.
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Dates et versions

hal-01678551 , version 1 (09-01-2018)

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Noemi Lanciotti, Javier Ojeda, Mohamed Gabsi, Taha Boukhobza. Open-phase fault detection using vibrations in five-phase flux switching machine. 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, ISEF 2017, Sep 2017, Lodz, Poland. ⟨10.1109/ISEF.2017.8090682⟩. ⟨hal-01678551⟩
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