Amélioration de la robustesse des machines synchrones spéciales multi phases dans un contexte de transport urbain

Abstract : Five-phase flux switching machines have a fault tolerance and robustness that makes them very interesting from the point of view of reliability, as shown in chapter one of this work. In our studies we have explored the possibility of detecting faults that affect this type of machine using the signature of stator vibrations.Using the physical and mathematical tools presented in chapter two, we improved two multyphisics models, one based on finite elements method that it's presented in chapter three and the seconde one analitycal model, called permeance networks, in chapter four. The vibratory behavior of the machine was studied using these two models, under healthy and faulty conditions, in order to know how this behavior is influenced by the electrical and magnetic magnitudes of the machine. In addition, we have studied the possibility of detecting and discriminating different types of faults. Analytical model is a good estimator of fault behavior of the machine, despite its differences with the simulation.In chapter five, the two multiphysical models have been validated by experimental tests and we have been able to explain fault behavior by mechanical origin rather than magnetic origin.Finally, in chapter six, we used both models to study the fault behavior of the machine, at speeds above the experimental limit (3100 rpm).
Document type :
Theses
Complete list of metadatas

Cited literature [60 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02145685
Contributor : Abes Star <>
Submitted on : Monday, June 3, 2019 - 11:24:51 AM
Last modification on : Thursday, October 10, 2019 - 3:24:27 AM

File

72668_LANCIOTTI_2018_diffusion...
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02145685, version 1

Citation

Noemi Lanciotti. Amélioration de la robustesse des machines synchrones spéciales multi phases dans un contexte de transport urbain. Autre. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLN055⟩. ⟨tel-02145685⟩

Share

Metrics

Record views

88

Files downloads

27