Synthesis of Electrical Quantities Applied to Squirrel Cage Induction Motor Bearing Faults Detection

摘要

Electric motors play a very important role for safe and efficient running of any industrial or power plant. Early detection of abnormalities in the motor will help and avoid expensive failures. Bearing faults create asymmetries and result in abnormal amplitude of the harmonics around the fundamental supply frequency and its harmonics. It has been shown that bearing faults can be detected by several methods. Frequency estimation techniques have been developed and used to detect bearing faults. In this paper an overview of the Concordia vectors technique (namely the a and β components) is applied to the detection of bearing faults. Our main objective is to investigate which of the two components is most sensitive to bearing faults. Experimental tests performed on a number of faulty bearings show that the β- quadrature component is more sensitive to these types of faults.