Title : ( Eccentricity fault detection in synchronous reluctance machines )
Authors: Hossein Hooshmandi Safa , Hossein Abootorabi Zarchi ,Abstract
This paper introduces a novel index for static eccentricity (SE) fault diagnosis in synchronous reluctance motors (SynRMs). Although SynRMs with rotor barriers under SE have been modeled in a few papers, any indices for the fault detection have not yet been reported. The proposed index is a specific frequency pattern in the motor current, which can also determine the fault severity. A novel analytical magnetic field investigation is applied to ascertain the proposed index. An accurate nonlinear numerical method is proposed for the motor inductances calculation. The model considers the rotor flux barriers, magnetic saturation, and the stator slots effect. The air gap flux density and the motor current are then achieved. The fast Fourier transform is exploited as a signal-processing tool to calculate motor current spectra. Then, a two-dimension time-stepping finite element method is used to attest of the proposed numerical model. Effectiveness of the proposed index is verified by simulation and experimental tests.
Keywords
Modified winding function · Finite element model · Synchronous reluctance motors · Static eccentricity · Motor current analysis@article{paperid:1096005,
author = {Hooshmandi Safa, Hossein and Abootorabi Zarchi, Hossein},
title = {Eccentricity fault detection in synchronous reluctance machines},
journal = {Electrical Engineering},
year = {2023},
volume = {106},
number = {2},
month = {October},
issn = {0948-7921},
pages = {1977--1987},
numpages = {10},
keywords = {Modified winding function · Finite element model · Synchronous reluctance motors · Static eccentricity · Motor
current analysis},
}
%0 Journal Article
%T Eccentricity fault detection in synchronous reluctance machines
%A Hooshmandi Safa, Hossein
%A Abootorabi Zarchi, Hossein
%J Electrical Engineering
%@ 0948-7921
%D 2023