IIIE 20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
artículos
Título:
On-Line Model-Based Stator Fault Detection and Identification in Induction Motors
Autor/es:
C. DE ANGELO; G. BOSSIO; S. GIACCONE; M. I. VALLA; J. SOLSONA; G. GARCÍA
Revista:
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Editorial:
IEEE
Referencias:
Lugar: Piscataway, NJ; Año: 2008
ISSN:
0278-0046
Resumen:
A model-based strategy for stator inter-turn short circuit detection on induction motors is presented. The proposed strategy is based on the generation of a vector of specific residual using a state observer. The vectorial residual is generated from a decomposition of the current estimation error. This allows a fast detection of incipient faults, independently of the phase in which the fault occurs. Since the observer includes an adaptive scheme for rotor speed estimation, the proposed scheme can be implemented for on-line monitoring, by measuring only stator voltages and currents. It is shown that the proposed strategypresents very low sensitivity to load variations and power supply perturbations. Experimental results are included to show the ability of the proposed strategy for detecting incipient faults,including a low number of short-circuited turns and low fault current.
