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- W4200400373 abstract "Control valve stiction is constantly encountered by virtually all process industries on a regular basis. Valve stiction is a menace to the safe and economically optimal operation of the process industries. In the present work, a novel data-driven method is developed to detect sticky control valves in industrial control loops. The rudimentary concepts of statistics are the foundation of the developed method. Rigorous testing of the proposed method in control loops pertaining to a wide variety of process industries demonstrates superior stiction detection capability over most of the existing methods. Apart from stiction detection, the proposed method offers estimation for a stiction band to assist maintenance engineers to schedule plant turnarounds in advance. Furthermore, the method is capable of detecting a faulty control valve in industrial control loops." @default.
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- W4200400373 date "2021-12-16" @default.
- W4200400373 modified "2023-10-18" @default.
- W4200400373 title "Practical Linear Regression-Based Method for Detection and Quantification of Stiction in Control Valves" @default.
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- W4200400373 doi "https://doi.org/10.1021/acs.iecr.1c02723" @default.
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