DocumentCode :
68578
Title :
Identification of Demagnetization Faults in Axial Flux Permanent Magnet Synchronous Machines Using an Inverse Problem Coupled With an Analytical Model
Author :
De Bisschop, Jan ; Abdallh, Ahmed ; Sergeant, Peter ; Dupre, Luc
Author_Institution :
Dept. of Electr. Energy, Syst. & Autom., Ghent Univ., Ghent, Belgium
Volume :
50
Issue :
11
fYear :
2014
fDate :
Nov. 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents an analytical method for permanent magnet demagnetization detection in an axial flux permanent magnet synchronous machine. First, a forward model is built to calculate the three phase terminal voltages with inputs of three phase currents, the geometry of the machine, and the electromagnetic properties of the machine. To model the demagnetization fault, the scalar potential equation is solved. The magnetization waveform is a square wave corrected with magnetization factors that represent the individual magnetization of every magnet. Second, the forward model is inverted so that the magnetization factors are computed out of the three phase currents and the three phase terminal voltages. The forward model is validated with experimental data and finite element simulations.
Keywords :
demagnetisation; fault diagnosis; magnetisation; permanent magnet machines; synchronous machines; analytical model; axial flux permanent magnet synchronous machine; axial flux permanent magnet synchronous machines; demagnetization faults identification; electromagnetic properties; finite element simulations; inverse problem; magnetization factors; magnetization waveform; permanent magnet demagnetization detection; scalar potential equation; three phase currents; three phase terminal voltages; Demagnetization; Inverse problems; Magnetic separation; Magnetization; Mathematical model; Rotors; Soft magnetic materials; Axial flux permanent magnet synchronous machine (AFPMSM); demagnetization faults; inverse problem;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2014.2316851
Filename :
6971375
Link To Document :
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