INVESTIGADORES
BOSSIO Guillermo Ruben
congresos y reuniones científicas
Título:
Stator core fault diagnosis for induction motors based on parameters adaptation
Autor/es:
P. M. DE LA BARRERA; G. R. BOSSIO; G. O. GARCÍA; J. A. SOLSONA
Lugar:
Cargese
Reunión:
Simposio; The 7th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2009); 2009
Institución organizadora:
IEEE
Resumen:
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 RFe. Stator core fault causes important variations on iron losses and these variations are reflected on the RFe. Therefore the proposed adaptive state observer estimates RFe 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.