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Bayesian soft sensor: a tool for on-line estimation of the key process variable in cold rolling mills

One of the key objectives of any rolling mill control system is to keep the thickness of the processed material within the prescribed tolerance band, which can be as low as +-10 micrometers for thin strips. Failure to comply with the tolerances results in losses which, according to experts estimate, might go up to 10% of the profit for poorly equipped rolling mills. Unfortunately, no practical direct measurement of the gauge within the rolling gap is possible. Strip thickness can be measured 50--100cm after the rolling gap with a high transport delay (20--120 samples).

Models with strictly bounded noise

A state space model is frequently used for a description of real systems. Usually, some state variables are hidden and cannot be measured directly and some model parameters are unknown. Then, the need for learning, i.e., the state filtering and parameter estimation, arises. Probabilistic models provide a suitable description of the always uncertain reality and call for such approaches as Bayesian learning. Uncertainties are standardly modelled by the Gaussian distribution. This leads to Kalman-filter-based algorithms.

Current projects:

Car transport: Fuel consumption optimization

This research project aims at optimization of fuel consumption both from the economical and ecological points of view.

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News

BELIEF'16 - 21.09.2016
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The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, is a well established general framework for reasoning with uncertainty, with well understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P. Dempster in the context of statistical inference, the theory was later developed by Glenn Shafer into a general framework for modeling epistemic uncertainty.
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IGAIA IV - 13.06.2016
Liblický zámek

The fourth conference on Information Geometry and its Applications will be held on June 13-17, 2016, at Liblice Castle in Czech Republic. It is organized by the Institute of Information Theory and Automation of the Czech Academy of Sciences.

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Successful Defense of Dissertation Thesis - 08.12.2015
Ondřej Tichý from Adaptive Systems has successfully defended his PhD thesis "Bayesian Blind Source Separation in Dynamic Medical Imaging". Congratulation!
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Best research paper in Energy Economics 2015 - 07.12.2015
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Institute of Energy Economics, Faculty of Finance and Accounting, University of Economics in Prague awarded work of Jozef Baruník and Barbora Malínská "Forecasting the term structure of crude oil futures with neural networks" forthcoming in the Applied Energy Journal with a "Best research paper in Energy Economics 2015" prize.
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WUPES'15 - 19.06.2015
Monínec

A series of Workshops on Uncertainty Processing (WUPES) has been held in the Czech Republic every third year since 1988. Proceedings from several previous workshops can be found on their websites ( WUPES'12, WUPES'09, and WUPES'06). Like the previous meetings the forthcoming Workshop will foster creative intellectual activities and the exchange of ideas in an informal atmosphere.

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Electrical drives: sensorless control

Electrical drives are part of everyday world. While the technology for their control is well known and reliable, new challenges are comming with new technology and new requirements. The always present pressure for better reliability, safety and cost of production and operation are the driving force for inovation.

The electrical drives are also good laboratory to test new theoretical results. We apply the results of reasearch in areas of:

Ing. Václav Kratochvíl

successfully completed his PhD studies at Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering. On 24th February 2012 he defended his doctoral thesis "Probabilistic Compositional Models: solution of an equivalence problem" and he was awarded a Ph.D. degree in Mathematical Engineering.

Cena za 1. místo v soutěži disertačních prací v jaderných oborech

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Ústav jaderného výzkumu Řež a.s. a Česká nukleární společnost ocenily disertační práci s názvem "Application of Advanced Data Assimilation Methods in Off-site Consequence Assessment" Ing. Radka Hofmana, Ph.D. cenou za 1. místo v soutěži disertačních prací v jaderných oborech.

Ebooks in the library

Elsevier – Science Direct

Securing SQL Server
Cherry, Denny
ISBN: 9781597496254

Numerical Methods and Optimization in Finance
Gilli, Manfred
ISBN: 9780123756626



Wiley – Wiley online library

Concepts & Methods of Decision-Making

Cena za nejlepší práci z oblasti energetické ekonomie v roce 2011

Institut energetické ekonomie při Fakultě financí a účetnictví VŠE ocenil práci Mgr. Lukáše Váchy, Ph.D. a PhDr. Jozefa Baruníka, Ph.D.: Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis (http://www.sciencedirect.com/science/article/pii/S0140988311002350) a udělil jim Cenu za nejlepší práci z oblasti energetické ekonomie v roce 2011.
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