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A robust data reconciliation method is proposed.
A novel robust data reconciliation method is proposed based on GT distribution and historical data, at the same time, its robustness characteristics are investigated.
The convective heat transfer coefficients were obtained using the data reconciliation method for two energy balance equations defined at different locations and for the power loss equation for the AC current flow of the considered switchgear.
We develop two data reconciliation (DR) methods for the validation of measurements, detection and isolation of sensors faults and reconstruction of missing data: first a static data reconciliation is developed for a hydraulic cross-structure of an irrigation canal, then a dynamic data reconciliation method is applied to take account of measurements at the upstream and downstream end of each pool.
Increasing the number of redundant measurements, in terms of the data reconciliation method, leads to decrease the relative standard deviation of the thermal capacity of the boiler and increase the value of Kullback-Leibler divergence, i.e.; decrease the information entropy of the measuring system.
In 2015, an optimization of redundant measurements location for thermal capacity of power unit steam boiler using data reconciliation method is performed [10].
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An adaptive nonlinear dynamic data reconciliation (ANDDR) method is proposed that includes the application to processes with an unknown statistical model.
Despite the optimality of data reconciliation, direct methods are still widely used in the industry because of their simplicity.
Data reconciliation is a well-known method in on-line process control engineering aimed at estimating the true values of corrupted measurements under constraints.
The framework method promotes data reconciliation which proved the presence of flows that two operations in the study had neglected to provide.
The optimization of a location of redundant measurements under varying loads for steam boiler of a supercritical power unit using the generalized method of data reconciliation has been carried out.
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