Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve

K. V. Santhosh; Bhagya R. Navada

doi:10.1109/EPETSG.2018.8658834

Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A sensor less flow measurement technique is proposed in this paper. 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. Orifice flow meter is placed at the outlet of the control valve for measurement of outflow. By analyzing the behavior of control valve for different input signal, in flow to the control valve is estimated. Control valve works on the principle of regulating the inflow based on the control signal. Performance of the control valve can be established by measuring outflow, by knowing input signal and estimation of inflow to the control valve. 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.

Original language	English
Title of host publication	2nd International Conference on Energy, Power and Environment
Subtitle of host publication	Towards Smart Technology, ICEPE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538647691
DOIs	https://doi.org/10.1109/EPETSG.2018.8658834
Publication status	Published - 04-03-2019
Event	2nd International Conference on Energy, Power and Environment, ICEPE 2018 - Shillong, Meghalaya, India Duration: 01-06-2018 → 02-06-2018

Publication series

Name	2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018

Conference

Conference	2nd International Conference on Energy, Power and Environment, ICEPE 2018
Country/Territory	India
City	Shillong, Meghalaya
Period	01-06-18 → 02-06-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Control and Optimization
Energy Engineering and Power Technology
Computer Networks and Communications
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/EPETSG.2018.8658834

Cite this

Santhosh, K. V., & Navada, B. R. (2019). Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve. In 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018 Article 8658834 (2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPETSG.2018.8658834

Santhosh, K. V. ; Navada, Bhagya R. / Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve. 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018. Institute of Electrical and Electronics Engineers Inc., 2019. (2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018).

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title = "Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve",

abstract = "A sensor less flow measurement technique is proposed in this paper. 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. Orifice flow meter is placed at the outlet of the control valve for measurement of outflow. By analyzing the behavior of control valve for different input signal, in flow to the control valve is estimated. Control valve works on the principle of regulating the inflow based on the control signal. Performance of the control valve can be established by measuring outflow, by knowing input signal and estimation of inflow to the control valve. 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.",

author = "Santhosh, \{K. V.\} and Navada, \{Bhagya R.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd International Conference on Energy, Power and Environment, ICEPE 2018 ; Conference date: 01-06-2018 Through 02-06-2018",

year = "2019",

month = mar,

day = "4",

doi = "10.1109/EPETSG.2018.8658834",

language = "English",

series = "2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018",

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Santhosh, KV & Navada, BR 2019, Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve. in 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018., 8658834, 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Energy, Power and Environment, ICEPE 2018, Shillong, Meghalaya, India, 01-06-18. https://doi.org/10.1109/EPETSG.2018.8658834

Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve. / Santhosh, K. V.; Navada, Bhagya R.
2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8658834 (2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve

AU - Santhosh, K. V.

AU - Navada, Bhagya R.

PY - 2019/3/4

Y1 - 2019/3/4

N2 - A sensor less flow measurement technique is proposed in this paper. 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. Orifice flow meter is placed at the outlet of the control valve for measurement of outflow. By analyzing the behavior of control valve for different input signal, in flow to the control valve is estimated. Control valve works on the principle of regulating the inflow based on the control signal. Performance of the control valve can be established by measuring outflow, by knowing input signal and estimation of inflow to the control valve. 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.

AB - A sensor less flow measurement technique is proposed in this paper. 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. Orifice flow meter is placed at the outlet of the control valve for measurement of outflow. By analyzing the behavior of control valve for different input signal, in flow to the control valve is estimated. Control valve works on the principle of regulating the inflow based on the control signal. Performance of the control valve can be established by measuring outflow, by knowing input signal and estimation of inflow to the control valve. 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.

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M3 - Conference contribution

AN - SCOPUS:85063470875

T3 - 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018

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Santhosh KV , Navada BR. Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve. In 2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8658834. (2nd International Conference on Energy, Power and Environment: Towards Smart Technology, ICEPE 2018). doi: 10.1109/EPETSG.2018.8658834

Soft Computational Technique to Estimate Inflow for Fault Detection in Control Valve

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