Research on stator current analysis method of induction motor based on local fault diagnosis of gears

Abstract

In this paper, the drive gear set driven by motor is taken as the research object. The generation mechanism of the modulated signal in the event of gear failure is studied. The principle of gear fault stator current detection and the stator current characteristics of the gear in normal and fault conditions are theoretically studied. Secondly, the gear fault simulation test bench is built. Under the conditions of the normal and simulated gear local faults, the motor stator current signal and the vibration signal of the gear system are collected, the wavelet transform and Hilbert transform analysis method are used to process and compare the collected signals. The research results show that the local fault of the gear will cause the change of the motor current. Combining the advantages of wavelet transform and Hilbert transform in signal processing, the fault characteristic frequency and related frequency of the gear are extracted successfully in the stator current. The comparison between stator current signal and vibration signal also proves the feasibility and superiority of stator current method in gear fault diagnosis. It shows that the continuous improvement and improvement of the stator current analysis method will provide strong technical support for the development of mechanical fault monitoring and diagnosis.