Dynamic Data Reconciliation for Improved Process Performance
نویسندگان
چکیده
One of main thrusts of modern plant operation is to improve the quality of online information in distributed control system (DCS). Accurate information about the current state of a process is paramount for plant monitoring and control. Unfortunately, process measurements are often corrupted by measurement noise. The presence of measurement noise not only prevents plant operators from identifying true values of process variables, but also deteriorates controller performance when the raw measurements are directly transmitted to controllers to calculate control moves.
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