A new scheme in model-based fault detection in three-phase induction motors

A new scheme in model-based fault detection in three-phase induction motors

In this paper, an induction motor under mixed air-gap eccentricity condition is simulated using modified winding function approach. Then the simulated stator line currents and voltages are used as outputs and inputs to obtain a linear model. Modified recursive least square is used to estimate the mo...

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Bibliographische Detailangaben
Hauptverfasser: Nasiri, A., Poshtan, J., Kahaei, M.H., Taringoo, F.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Air gaps
Chemical industry
Circuit faults
Condition monitoring
Defense industry
Fault detection
Induction motors
Parameter estimation
Safety
Stators
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Beschreibung
Zusammenfassung:In this paper, an induction motor under mixed air-gap eccentricity condition is simulated using modified winding function approach. Then the simulated stator line currents and voltages are used as outputs and inputs to obtain a linear model. Modified recursive least square is used to estimate the model parameters for an ARX model of the induction motor. Variations in estimated parameters show the occurrence and amount of mixed eccentricity in this motor. Also it is proposed as a method for other faults that may occur in three-phase induction motor alone or together, as in this method, faults can be detected and isolated very well. Simulation and experimental results confirm our claims.
DOI:10.1109/ICMECH.2004.1364405