The Development of Automatic Tracking Filter for Data Acquisition in Fault Diagnosis System Based on FPGA

The running speed of rotating machinery will have a negative influence on the quality of acquired data used in fault diagnosis. Poor-quality signal may cause misinterpretation of monitoring system, and even lead to the false alarms or failure of detection. To improve the quality of the signal and enhance the accuracy of the fault monitoring system, a novel automatic tracking filter for data acquisition based on FPGA was developed. This newly developed filter can adjust to its real-time cut-off frequency relying on the detected rotational speed. Moreover, the introduction of the Ping-Pong operation realized the non-disturbance shifting of output data. The results obtained from the simulated and pragmatic experiments revealed that this filter could achieve automatic tracking for rotational speed and ameliorate the quality of sampling signal utilized in fault diagnosis.