حفاظت موتورهاي القايي بزرگ با استفاده از پردازش سيگنال

Large induction motors play a crucial role in industrial processes due to their high power, satisfactory efficiency, an‎d low maintenance requirements. Nevertheless, the safe an‎d reliable operation of these motors necessitates continuous monitoring an‎d timely fault detection. One of the most critical an‎d destructive faults is blocked rotor under various operating conditions. This fault can occur both during startup an‎d during continuous operation, producing excessive currents that may result in severe damage to the windings, power equipment, an‎d cause production downtime. This study presents an effective method for detecting blocked rotor faults in large induction motors, based on the analysis of stator phase currents using signal processing techniques. Two types of rotor lock faults cold blocked rotor during startup an‎d hot blocked rotor during operation were simulated in PSIM software, an‎d the resulting currents were analyzed using three processing techniques. The proposed techniques include the Pencil Method an‎d moving average filtering, applied both before an‎d after the phase-locked loop (PLL). The results demonstrate the performance of the proposed methods in terms of detection accuracy, response speed, an‎d ease of implementation. The findings of this research can be applied in the development of advanced protection schemes for large induction motors, particularly in critical industrial applications.

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