Abstract
Valve stiction is a frequent cause of loop performance deterioration and in recent literature many techniques have been proposed for its automatic detection. Yamashita [(2006). An automatic method for detection of valve stiction in process control loops. Control Engineering Practice, 14, 503–510] proposes a method based on qualitative shape analysis, which is very effective for flow control loops where the valve position (or the proportional flow rate) is available as measurement. However, additional stiction patterns observed in industrial data are not included in the original algorithm. This paper provides an analysis and explanation of these patterns on the basis of valve type, loop dynamics and control system setup, by means of simulation and comparison with industrial data. The technique is then extended and applied to a plant data set in order to show the improved efficiency in detecting stiction.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
