Soft computational technique to estimate inflow for fault detection in control valve

Santhosh, K V and Navada, Bhagya R. (2018) Soft computational technique to estimate inflow for fault detection in control valve. In: International Conference on Energy, Power and Environment, 01/06/2018, Meghalaya.

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This proposed paper discusses a sensor less flow measurement technique. The objective of the proposed work is to design an observer which can estimate the inflow to the control valve by soft computation techniques, so as to detect the faults in the control valve. The flow rate is measured using the orifice flow meter placed at the outlet of the control valve, by analyzing the characteristics of control valve, in flow to the control valve is estimated. Control valve works on the principle of regulating the inflow based on the control signal. By measuring the outflow, knowledge of input signal and estimation of inflow to the control valve performance of the control valve can be established. To estimate the inflow, neural network based model is incorporated in the proposed work. Designed estimator is compared with the standard signal to evaluate the performance. The root mean square of percentage error of 0.91 shows successful design of estimator

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Flow process, Fault diagnosis, Orifice flow meter, control valve, observer
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 02 Mar 2019 07:02
Last Modified: 02 Mar 2019 07:02

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