Fault detection of motor bearing with embedded coils and PCA algorithm

Bearing faults are the main contributors to the failures of induction motors, which are widely used in industrial field. In this paper, 8 embedded coils are firstly proposed for air gap sensing. With the 8 coils, 6 differential signals are generated, which are sensitive indicators to the bearing faults. Then, PCA is introduced for fault detection. Experiments with an oil pump fault detection are carried out to verify our approach. The results convince the validity and effectiveness of the embedded coils and PCA based method.