Eccentricity fault diagnosis in three-phase-wound-rotor induction machine using numerical discrete modeling method

Summary In recent years, several papers have dealt with eccentricity fault diagnosis considering the cage‐induction machine while wound machine type has not been studied as a case. In this paper, eccentricity fault is studied based on the current/torque signature considering modified winding functio...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of numerical modelling Vol. 29; no. 5; pp. 982 - 997
Main Authors Naderi, Peyman, Fallahi, Farzad
Format Journal Article
LanguageEnglish
Published Bognor Regis Blackwell Publishing Ltd 01.09.2016
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Summary In recent years, several papers have dealt with eccentricity fault diagnosis considering the cage‐induction machine while wound machine type has not been studied as a case. In this paper, eccentricity fault is studied based on the current/torque signature considering modified winding function approach (MWFA). A novel discrete model is introduced, and eccentricity fault is evaluated in both static and dynamic cases. To reach this aim, a numerical model is presented for slot openings, distributed windings and air‐gap, thereby computing the machine's inductances using MWFA. Power spectral density (PSD) of stator's current and machine's vibration are analyzed for static and dynamic eccentricity diagnosis and the finite element method (FEM) is utilized to precisely verify the proposed method. Mathematical‐based model with consideration of both slot openings and non‐sinusoidal winding function effects are the advantages of the proposed method over the previous researches in this field. Moreover, proposed method, which is based on mathematical modeling, could be easily applied to other types of electrical machines, and this feature is regarded as another key point of this paper. Copyright © 2016 John Wiley & Sons, Ltd.
Bibliography:istex:FCEC8D0779853E44189CEEE194329A7FD64EF225
ArticleID:JNM2157
ark:/67375/WNG-JKXDTM5Q-0
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0894-3370
1099-1204
DOI:10.1002/jnm.2157