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- W132922160 abstract "Valve stiction has been recognized as a common maintenance problem in automated oil and gas processing plants. A simple method for detection of valve stiction is presented in this paper. In the literature, stiction detection has been formulated as a pattern recognition problem. This approach is based on the observation that under closed loop operation with a proportional and integral (PI) controller, if there is a sticky valve, depending on the process, either the process output (PV) or the controller output (OP) signal exhibits a triangular pattern while the complementary signal (PV or OP) becomes sinusoidal or follows exponential rise and decay. In the proposed method, data compression is used to compare the patterns of a sinusoidal or exponential signal with a triangular signal. The basic idea is that a triangular signal can be compressed more than a sinusoid or exponentially decaying signals because such signals can be approximated as a combination of straight line segments. Details on how to compare the compression factors and how to choose the width of the compression window are provided. Finally the applicability of the proposed method is demonstrated using a number of data sets from different industrial processes including oil refineries." @default.
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- W132922160 date "2009-01-01" @default.
- W132922160 modified "2023-10-14" @default.
- W132922160 title "Maintenance issues in oil and gas processes: Detection of valve stiction" @default.
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- W132922160 doi "https://doi.org/10.1016/b978-0-444-53292-3.50027-4" @default.
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