Real-Time Monitor and Control System for Abnormal Motor Vibrations

Bearing fault detection and classification is a significant and crucial concern. This paper presents the design of a vibration measurement and control system using FPGA controller. The system encompasses vibration sensing and motor control functionalities. The vibration signals are captured and processed by fast Fourier transform (FFT) with hardware implementation, enabling real-time display of both the time domain and frequency domain signals. The obtained data serves as the basis for motor speed control, and anomaly detection is performed through logical analysis. A self-adjusting speed method is proposed to mitigate abnormal vibration. The measurement program control facilitates quick data collection of vibration and speed parameters of motor for identifying abnormal data patterns. The measurement results accurately illustrate the real-time detection of motor fault types, and to reduce the motion vibration.