Performance Analysis of Squirrel-Cage Induction Motors Under Broken Rotor Bar and Stator Inter-Turn Fault Conditions Using Analytical Modeling

Stator winding inter-turn (SWI) short-circuit fault and broken rotor bar (BRB) fault are two common faulty modes of the squirrel cage induction motors (SCIMs). These faults have various impacts on the motor performance and may be rooted in each other; therefore, they may be presented at the same tim...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2018-11, Vol.54 (11), p.1-5
Main Authors: Ojaghi, Mansour, Sabouri, Mahdi, Faiz, Jawad
Format: Article
Language:English
Subjects:
Air gaps
Analytical modeling
Analytical models
Bars
broken rotor bar (BRB) fault
Circuit faults
Computer simulation
Fault diagnosis
Faults
induction motor
Induction motors
Magnetic saturation
Magnetism
Mathematical analysis
Mathematical models
Modelling
Rotors
Short circuits
simulation
Squirrel cage motors
stator winding inter-turn (SWI) fault
Stator windings
Stators
Winding
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Summary:Stator winding inter-turn (SWI) short-circuit fault and broken rotor bar (BRB) fault are two common faulty modes of the squirrel cage induction motors (SCIMs). These faults have various impacts on the motor performance and may be rooted in each other; therefore, they may be presented at the same time in an SCIM. This paper proposes an exact analytical model for the SCIMs, which is able to include the SWI and BRB faults presenting simultaneously or individually with variable severities. Multiple coupled circuit modeling is applied to achieve such analytical model. The magnetic saturation effect is included in the model by applying appropriate air gap function and the rotor bars skew effect is taken into account by using 2-D winding function theory. Simulation results as well as the corresponding experimental results approve the presence of the same harmonics in the stator line currents due to the proposed faults. However, more detailed study gives solution for discrimination of the faults. The attained analytical model can be applied to examine the performance of the related fault diagnosis methods and to design novel fault diagnosis techniques including the model-based ones.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2018.2842240