An FFT-based high-speed spindle monitoring system for analyzing vibrations

This paper proposes a Fast Fourier Transform (FFT)-based monitoring system which is applied to measure, monitor, and analyze the vibrations of the high-speed spindle. The piezoelectric sensor based accelerometer can real-time measure the signals of the vibrations when the high-speed spindle is vibrated. These signals of the vibrations are sent to a cloud-based platform via wireless communication techniques. The meaningful characteristic of vibrations are captured by the FFT technique. Moreover, a database is built as sample patterns (all kinds of damage and normal operations), according to these related characteristic. Therefore, it can assist us to recognize normal/abnormal vibrations. The behaviors of abnormal vibration occurred in the high-speed spindle can also be predicted for early maintenance.