Title :
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
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;
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
DOI :
10.1109/IEMDC.2007.383667
