Title

Application of the entropy information for the optimization of an additional measurements location in thermal systems

Journal title

Archives of Thermodynamics

Yearbook

2011

Issue

No 3 December

Authors

Szega, Marcin

Keywords

thermal processes ; Data reconciliation ; Information entropy ; Optimal set of measurements

Divisions of PAS

Nauki Techniczne

Coverage

215-229

Publisher

The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences

Date

2011

Type

Artykuły / Articles

Identifier

DOI: 10.2478/v10173-011-0024-2

Source

Archives of Thermodynamics; 2011; No 3 December; 215-229

References

<i>Guide to the Expression of Uncertainty in Measurement.</i> International Organization for Standardization, 1995. Polish edn., Zakład Metrologii Ogólnej Głównego Urzędu Miar, 1999. ; Bagajewicz M. (2001), Process Plant Instrumentation: Design and Upgrade. ; Alhéritière C. (1997), Evaluation of the contribution of refinery process data to performance measures, null. ; Madron F. (1992), Optimal selection of measuring points in complex plants by linear models, AIChE J, 38, 2. ; Szega M. (2010), Application of the data reconciliation algorithm in optimization of measurements location for calculation of thermal capacity of a steam boiler, Rynek Energii, 87, 2, 149. ; Szargut J. (1984), Reconciliation Calculus in Thermal Engineering. ; Szargut J. (1996), Justification of measurement results in thermal technology, null, 413. ; VDI-Richtlinien.: <i>Uncertainties of Measurement During Acceptance Tests on Energy Conversion and Power Plants. Fundamentals, Part 1.</i> VDI 2048, October 2000. ; Szega M. (2009), Advantages of an application of the generalized method of data reconciliation in thermal technology, Archives of Thermodynamics, 30, 4, 219. ; Szega M. (2009), Application of Data Reconciliation Method for Increase of Measurements Reliability in the Power Unit System of a Steam Power Plant. ; Shannon C. (1948), A mathematical theory of communication, The Bell System Technical J, 27, 379. ; Kullback S. (1951), On information and sufficiency, Annals of Mathematical Statistics, 22, 1, 79, doi.org/10.1214/aoms/1177729694 ; Greń J. (1984), Mathematical Statistics. Model's and Problem's. ; StatSoft, Inc. (2010). <i>STATISTICA (data analysis software system)</i>, version 9.1. <a target="_blank" href='http://www.statsoft.com'>http://www.statsoft.com</a>

Editorial Board

International Advisory Board

J. Bataille, Ecole Central de Lyon, Ecully, France

A. Bejan, Duke University, Durham, USA

W. Blasiak, Royal Institute of Technology, Stockholm, Sweden

G. P. Celata, ENEA, Rome, Italy

L.M. Cheng, Zhejiang University, Hangzhou, China

M. Colaco, Federal University of Rio de Janeiro, Brazil

J. M. Delhaye, CEA, Grenoble, France

M. Giot, Université Catholique de Louvain, Belgium

K. Hooman, University of Queensland, Australia

D. Jackson, University of Manchester, UK

D.F. Li, Kunming University of Science and Technology, Kunming, China

K. Kuwagi, Okayama University of Science, Japan

J. P. Meyer, University of Pretoria, South Africa

S. Michaelides, Texas Christian University, Fort Worth Texas, USA

M. Moran, Ohio State University, Columbus, USA

W. Muschik, Technische Universität Berlin, Germany

I. Müller, Technische Universität Berlin, Germany

H. Nakayama, Japanese Atomic Energy Agency, Japan

S. Nizetic, University of Split, Croatia

H. Orlande, Federal University of Rio de Janeiro, Brazil

M. Podowski, Rensselaer Polytechnic Institute, Troy, USA

A. Rusanov, Institute for Mechanical Engineering Problems NAS, Kharkiv, Ukraine

M. R. von Spakovsky, Virginia Polytechnic Institute and State University, Blacksburg, USA

A. Vallati, Sapienza University of Rome, Italy

H.R. Yang, Tsinghua University, Beijing, China