Stator core fault diagnosis for induction motors based on parameters adaptation

A novel on-line stator core fault diagnosis method for induction motors (IM) is proposed. This approach is based on an adaptive state observer; it is derived from the IM dynamic model considering stator iron losses. In this model the iron losses are represented by an equivalent iron loss resistance...

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Bibliographic Details
Published in2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives pp. 1 - 7
Main Authors de la Barrera, P.M., Bossio, G.R., Garcia, G.O., Solsona, J.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Adaptive observer
Angular velocity
Estimation error
Fault diagnosis
induction motor
Induction motors
Iron
Observers
Radio frequency
State estimation
stator core
Stator cores
Voltage
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Summary:A novel on-line stator core fault diagnosis method for induction motors (IM) is proposed. This approach is based on an adaptive state observer; it is derived from the IM dynamic model considering stator iron losses. In this model the iron losses are represented by an equivalent iron loss resistance (R Fe ). Stator core fault causes important variations on iron losses and these variations are reflected on the R Fe . Therefore the proposed adaptive state observer estimates R Fe with the objective of diagnosing stator core fault. Simulation and experimental results for different fault severity conditions are showed. These results demonstrated the validity of the method. In addition, simulation results proved that the proposal is not sensitive to load torque variations.
ISBN:9781424434411
1424434408
1424434416
9781424434404
DOI:10.1109/DEMPED.2009.5292774