Abstract
AbstractInterturn short circuit fault (ISCF) is the most common electrical fault in motor faults. With Brushless DC motors (BLDCMs) widely used in industries, and its stability and safety of motor operation is more and more concerned. Therefore, it is very important to diagnose the ISCF of BLDCM. In order to realize the fault diagnosis of ISCF in BLDCMs, this paper proposed a method to detection and identification the fault. Firstly, combined with the motor fault model, the zero-sequence voltage component (ZSVC) of the motor is analyzed to obtain the change of its fundamental frequency amplitude, and the change is used to detect the ISCF. Secondly, the fault indicator is constructed with ZSVC and three-phase currents to identify the fault phase. The proposed method is completed on the basis of model analysis and signal processing, and the simulation results verify the effectiveness of the method.KeywordsInterturn short circuit faultBrushless DC motorsFault diagnosisFault detection and identificationZero sequence voltage component
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