Improving the characterization of a pressure gauge setup by condition monitoring

Abstract

Application of condition monitoring and anomaly detection have recently become more popular in Metrology. We implemented a condition monitoring system in an existing pressure balance setup using historical data containing anomalies. By simulating leaks, we tested the system with the most probable sources of anomalies. We found that these sources could not cause the anomalies in the historical data. Our measurement of anomaly causes allowed building confidence in the calibration results, further improving the characterization of the setup. Using this knowledge together with further condition monitoring, future work will focus on developing an adaptive control system for the setup.

Keywords

• Condition monitoring
• Pressure balance setup
• Data analysis