@ARTICLE{Szega_Marcin_Application_2011,
 author={Szega, Marcin},
 number={No 3 December},
 journal={Archives of Thermodynamics},
 pages={215-229},
 howpublished={online},
 year={2011},
 publisher={The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences},
 abstract={For the optimal location of an additional surplus measurements in the design of redundant measurements system, from data reconciliation point of view, of thermal processes, an information entropy has been applied. The relative entropy - Kullback-Leibler divergence, has been used. As a criterion of the optimal location of an additional surplus measurements in a system of measurements data, the minimum of the entropy information of reconciled measurements data has been assumed. Hence, the objective function in the described optimization task is maximum of the relative entropy - Kullback-Leibler divergence concerning sets of raw and reconciled measurements data. Simulation calculation with application of data reconciliation algorithm and Monte Carlo method concerning the influence of installation of the additional surplus measurements on decrease of entropy information of measurements after data validation have been carried out. The example calculations concerned the cross high-pressure heat regeneration system with cascade flow of condensate installed in 153 MW power unit equipped with cooler of steam are presented. Calculations for all variants of configurations of an additional surplus measurements in the analyzed thermal system have been done. Usefulness of the proposed Kullback-Leibler divergence as a objective function has been demonstrated.},
 type={Artykuły / Articles},
 title={Application of the entropy information for the optimization of an additional measurements location in thermal systems},
 URL={http://journals.pan.pl/Content/94263/PDF/15_paper.pdf},
 doi={10.2478/v10173-011-0024-2},
 keywords={thermal processes, Data reconciliation, Information entropy, Optimal set of measurements},
}