Bearing Fault Detection Method of Gear Traction Motor Based on ARM

Abstract

In order to promote the development of China's heavy industry economy and improve industrial production efficiency, a bearing fault detection method based on ARM is proposed. Firstly, the component standard deviation of the original features of motor bearings is obtained by combining with the ARM bearing fault detection algorithm, and the fault parameters are compared according to the classification standard deviation, so that the gears can be eliminated effectively. In order to ensure the accuracy and efficiency of motor bearing fault detection, the bearing fault detection process is optimized based on ARM bearing fault detection algorithm. Finally, the experiment proves that the fault detection method based on ARM is feasible, and the precision of motor bearing fault detection method is obviously improved compared with the traditional method.