Fast Models to Predict the Magnetic Stray Field Created by Faulty Electrical Machines

Author

Bui, Viet Phuong ; Chadebec, Olivier ; Rouve, Laure-Line ; Coulomb, Jean-Louis

Author_Institution

UMR CNRS, Grenoble

Volume

2

fYear

2007

fDate

3-5 May 2007

Firstpage

1594

Lastpage

1598

Abstract

The analysis of magnetic stray field created by electrical machine is now known as a powerful method for fault monitoring. This paper proposes two approaches to compute the magnetic stray field created by faulty electrical machine. The first one presents a homogenized FEM method. The second one is based on a combination of an analytical expression for the magnetic field in the air gap with an integral method. Both models lead to accurate results while saving significantly CPU time and memory, and highly simplify the machine description. Then, it is possible to use them to model electrical machines in faulty operation modes.

Keywords

electric machines; fault diagnosis; finite element analysis; magnetic fields; FEM method; air gap; fault monitoring; faulty electrical machine; integral method; magnetic field expression; magnetic stray field prediction; Condition monitoring; Magnetic analysis; Magnetic field measurement; Magnetic fields; Magnetic flux; Magnetization; Magnetostatics; Military computing; Predictive models; Teeth; Boundary element methods; electrical machines; fault diagnosis; finite element methods; magnetic stray field;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International

Conference_Location

Antalya

Print_ISBN

1-4244-0742-7

Electronic_ISBN

1-4244-0743-5

Type

conf

DOI

10.1109/IEMDC.2007.383667

Filename

4270887