Performance Monitoring of I to P converter using Data-Driven Model

In any industry, maintenance of field instruments is always challenging, as variety of instruments are used under different operating conditions. Such existing maintenance strategies like reactive maintenance, and preventive maintenance always have limitations. As pneumatic control valves are widely used as an actuator in industry. We have tested the I to P converter output pressure signal for different conditions like fluctuation in supply air pressure, various mounting condition and external vibration effects. IOT-enabled pressure transmitter is used for real-time data collection. Descriptive statistics is used for the analysis of the I to P converter pressure output. At Normal conditions Constant of proportionality is defined. So control signal, output pressure and constant of proportionality is used to define the performance of the I to P converter. Further, to classify the conditions, a Logistic regression model has been built using real-time data. Using the logistic regression classifier, healthy and faulty states are classified for the I to P convertor.