A Neural Network Model for Predicting NOx at the Mělník 1

This paper presents a non-conventional dynamic neural network that was designed for real time prediction of NOx at the coal powder power plant Mělnik 1, and results on real data are shown and discussed. The paper also presents the signal preprocessing techniques, the input-reconfigurable architecture, and the learning algorithm of the proposed neural network, which was designed to handle the non-stationarity of the burning process as well as individual failures of the measured variables. The advantages of our designed neural network over conventional neural networks are discussed

MEASUREMENT OF O2 IN COMBUSTION CHAMBER WITH AN ANALYSIS OF THE BURN OUT RATIO

An aim of this experimental research work was to achieve more detailed information about the combustion process in pulverized coal boilers. An O2 analyser was developed and manufactured for the measurement of O2volumetric concentration directly in the combustion chamber. The volumetric concentration of O2 in the combustion chamber is important information about the burn out ratio, quality of combustion and the space distribution of the flame. The uniformity of the flame or the even distribution of the combustion parameters could be a possible way how to move to satisfy new emission limits. Measured parameters of the combustion process could be used for the control system of the boiler. The O2 analyser was manufactured for the permanent measurement with acceptable results. The measurement of the air excess ratio in the combustion chamber shows that for the left and right side of the combustion chamber could be highly non-uniform. For correct interpretation of the air excess ratio measured in the combustion chamber is necessary to know local amount of the unburnedcarbon in the position of the measurement. Therefore a new extraction line with an isokinetic probe was installed in the boiler for an extraction of the particles from the combustion chamber. The extracted sample was analysed in the laboratory and in the position where the combustion process should be terminated was measured from 3-12% of the flammable substance in the analysed sample

Measurement of O2 in the Combustion Chamber of Apulverized Coal Boiler

Operational measurements of the O2 concentration in the combustion chamber of a pulverized coal boiler are not yet common practice. Operators are generally satisfied with measuring the O2 concentration in the second pass of the boiler, usually behind the economizer, where a flue gas sample is extracted for analysis in a classical analyzer. A disadvantage of this approach is that there is a very weak relation between the measured value and the condition in specific locations in the fireplace, e.g. the function of the individual burners and the combustion process as a whole. A new extractionline was developed for measuring the O2 concentration in the combustion chamber. A planar lambda probe is used in this approach. The extraction line is designed to get outputs that can be used directly for diagnosis or management of the combustion in the boiler

DCEP - Digital Corpus of the European Parliament

The paper presents a new highly multilingual sentence-aligned parallel corpus consisting of various document types and covering a wide range of subject domains. With a total of 1.37 billion words in 23 languages (253 language pairs), gathered in the course of ten years, this is the largest single release of documents by a European Union institution. Corpus statistics, required preprocessing, sentence alignment, and possible gains in statistical machine translation when adding this corpus to the previously existing ones are also considered.JRC.G.2-Global security and crisis managemen

Investigations on Size Structure of Steam Impurities in Turbines

Paper presents new measurement results for impurities structure occurring in superheated steam in turbines. Measurements were carried out by sampling device developed in cooperation of CTU and AS CR

Analysis of the security system at national and regional railways in the Czech Republic

Import 05/08/2014Diplomová práce se zabývá problematikou bezpečnostních rizik v železniční dopravě České republiky. Právně teoretická část seznamuje se zásadními předpisy souvisejícími s bezpečností, s problematikou mimořádných událostí, se základními pojmy a subjekty železničního sektoru. Práce obsahuje statistické údaje a analýzy ukazující současný stav bezpečnosti a rizikové faktory, které ji ovlivňují. Cílem je vyhodnotit rizika a poskytnout návrhy, jak vylepšit nebo doplnit stávající zabezpečení pro snížení následků mimořádných událostí.The work deals with problems of safety risks in rail transport in Czech Republic. Legal theory part introduces the fundamental rules related to security, problems of accidental events, basic concepts and subjects from the railway sector. The work includes statistics and analysis showing current status of security and risk factors, which it influences. The aim is evaluace risks and provide options, how to upgrade or complement existing security protection for reduce effects of accidental events.Prezenční060 - Katedra bezpečnostních služebvýborn

Aerosol in the steam turbine?

The small amount of admixtures in steam circuits of power stations influences their life-expectancy and energetic efficiency. It is likely that non-volatile admixtures are in the environment of the dry (superheated) steam transported in the form lf dry particles or concentrated nanometric droplets, aerosols. For the detection of these particles a new sampling line is proposed, using the aerosol technology. It will be possible to connect the sampling line to sampling ports of a steam turbine

Automatic Evaluation of Parallel Bilingual Data Quality

Statistical machine translation is an approach dependent particularly on huge amount of parallel bilingual data. It is used to train a translation model. The translation model works instead of a rule-based transfer; in some systems even lexical. It is believed that quality of the translation may be improved with more data for training. I have tried contrary to give less data and watch how the score of the translation changes. I selected sentence pairs to stay a part of the corpus with some key fi rst randomly, then according to sentence length ratio and finaly according to the number of word couples that a dictionary knows as translation pairs. I show that selection according to an advisable criteria slows down falling of NIST and BLEU score with decreasing size of the corpus and in some cases may tend even to better score. Decreasing the corpus size also lead to faster evaluation and less need of space. It may be useful in an implementation of the machine translation system in small devices with limited system resources