Linear Sliding Stem Control Valve Hunting Analysis and Extrapolation of Valve Monitoring Features
V. Prabhu1, R. Velnath2, S. Krishnakumar3, M. R. Prathap4
1V. Prabhu, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
2R. Velnath, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
3S. Krishnakumar, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
4M. R. Prathap, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
Manuscript received on January 14, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1385-1389 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1640029420/2020©BEIESP | DOI: 10.35940/ijitee.D1640.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Control Valve is one of the major final control elements used in industries and plays a vital role in enhancing the productivity of a plant. Optimization of control valve depends on the effective preventive maintenance schedule. Control valves may be overhauled from the pipeline when there is a suspicion of fault. Almost 80% of the control valve maintenance relates to the diagnosis of valve in service to detect any abnormality. When a fault is identified the preventive maintenance process shifts to the breakdown maintenance process. During this process the control valve components are tested to determine the cause of the problem and to establish a corrective course of action. With the developments in microprocessor based control valve instruments along with their diagnostics capabilities has allowed engineers to simplify the maintenance activities. These digital devices can identify problems related with instrument air quality, leakage, supply pressure restriction, excessive friction, dead band, and calibration shift. Troubleshooting control valves after installing in the field is a tedious process as it is difficult to discriminate whether the problem is in the control valve or in the controller tuning. This article presents a novel method using sensors to identify the problems related with the control valve hunting, to pinpoint the source of error and present the performance results to end user. The objective of this research is to reduce manual intervention in troubleshooting of control valves and to enhance the predictive maintenance resulting in cost effective production.
Keywords: Control Valve, Diagnosis, Hunting, Maintenance, Positioner, Stiction, Troubleshooting.
Scope of the Article: Health Monitoring and Life Prediction of Structures