DocumentCode
157365
Title
Electrical fault diagnosis for an induction motor using an electromechanical FE model
Author
Far, M. Farzam ; Arkkio, Antero ; Roivainen, Jussi
Author_Institution
Sch. of Electr. Eng., Aalto Univ., Aalto, Finland
fYear
2014
fDate
2-5 Sept. 2014
Firstpage
1881
Lastpage
1887
Abstract
This paper focuses on utilizing motor vibration as an indicator for these two electromagnetic faults in electrical machines: a broken rotor bar and an inter-turn short circuit in the stator winding. These two faults deform the magnetic field in motors, which generates additional magnetic forces in the air gap. As the result, the motor structure vibrates more, compared to the normal operation. For the purpose of fault detection, as the main subject of this paper, a 3-D model was developed in COMSOL Multiphysics. Thereafter, the radial and tangential forces (the main causes of vibration in electrical machines) were introduced to the model as boundary loads on the stator teeth. Frequency response analysis was then performed to collect acceleration data from the frame surface for each operating conditions. Finally, the simulation results illustrated that vibration is a beneficial signature for fault detection in electrical machines.
Keywords
air gaps; electric machine analysis computing; electrical faults; fault diagnosis; finite element analysis; induction motors; magnetic fields; mechanical engineering computing; rotors; solid modelling; stators; vibrations; 3D model; COMSOL multiphysics; acceleration data collection; broken rotor bar; electrical fault diagnosis; electrical machines; electromagnetic faults; electromechanical FE model; fault detection; finite element analysis; frequency response analysis; induction motor; interturn short circuit; magnetic field; magnetic force generation; motor vibration utilization; radial forces; stator teeth; stator winding; tangential forces; Acceleration; Force; Induction motors; Rotors; Stator windings; Vibrations; 3-D model; Electrical machine; Fault detection; Finite element analysis; Induction motor; Mechanical vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines (ICEM), 2014 International Conference on
Conference_Location
Berlin
Type
conf
DOI
10.1109/ICELMACH.2014.6960440
Filename
6960440
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