Three dimension Time-Frequency approach for diagnosing eccentricity faults in Switched Reluctance motor

Author

Bouchareb, I. ; Bentounsi, A. ; Lebaroud, Abdesselam ; Batoun, B.

Author_Institution

Dept. of Electrotechnics, Univ. of Mentouri, Constantine, Algeria

fYear

2012

Firstpage

740

Lastpage

747

Abstract

This paper presents an analysis of effects of dynamic air-gap eccentricity on the performances of a 6/4 Switched Reluctance Machine (SRM) through finite element analysis (FEA) based on a FEMM package associated to MATLAB/SIMULINK software. Among the various Time-Frequency methods used for detection of defects, the Time-Frequency Representation (TFR) is an appropriate tool to detect the mechanical failures through the torque analysis by allowing a better representation independent from the type of fault. Simulation results of healthy and faulty cases are discussed and illustrate the effectiveness of the proposed approach.

Keywords

air gaps; electric machine analysis computing; failure (mechanical); fault diagnosis; finite element analysis; mechanical engineering computing; reluctance motor protection; time-frequency analysis; torque; FEA; FEMM package; MATLAB/SIMULINK software; SRM; TFR; defect detection; dynamic air-gap eccentricity effects; eccentricity fault diagnosis; finite element analysis; mechanical failure detection; switched reluctance motor; three-dimensional time-frequency approach; time-frequency representation; torque analysis; Air gaps; Finite element analysis; Mathematical model; Reluctance motors; Rotors; Torque; FEA; SRM; TFR; detection; eccentricity fault;

fLanguage

English

Publisher

ieee

Conference_Titel

Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4673-1657-6

Type

conf

DOI

10.1109/SETIT.2012.6482007

Filename

6482007