Genetic Algorithm Application to Detect Broken Rotor Bar in Three Phase Squirrel Cage Induction Motors

One of the most important faults of a three-phase squirrel cage induction motor is broken rotor bar. The detection of this fault is necessary to avoid outage of motor as swell as subsequent damage to other equipment. Present paper introduces a new systematic straightforward method based on parameter identification for accurate detection of this type of fault in order to help enhance the diagnosis system of induction motors. The proposed method uses a genetic algorithm (GA) with data collected from a simple experiment on the selected motor. The validity of the scheme is shown for a motor with ratings of 1 hp and 380 V, under different operating point conditions. The analysis and decision in the proposed method can be achieved within a proper time. Copyright (C) 2011 Praise Worthy Prize S.r.l. - All rights reserved.