토크신호 스펙트럼 분석을 이용한 유도전동기 베어링 고장진단

The Diagnosis for Induction Motor Bearing Faults Using Torque Signal Spectrum Analysis

The faults of a electric motor cause to rise the maintenance and repair cost and to reduce the reliability of the electric power system. In this paper, the auto fault detection system for a induction motor is developed using the torque signal spectrum analysis. The spectrum of motor torque signal is used for finding a bearing fault feature frequency. A threshold value, for detecting the motor bearing fault is set by the difference of torque signal spectrum(FFT signal) between normal condition and faulted condition of the motor.