Temat: artificial network - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The NOx emission estimation by the artificial neural network: the results
Autorzy:: Kowalski, J.
Powiązania:: https://bibliotekanauki.pl/articles/244752.pdf
Data publikacji:: 2008
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: emission
NOx
nitric oxides
ANN
artificial neural network
perception
ship diesel engine
Opis:: The paper presents the preliminary investigations of nitric oxides (NOx) estimation from marine two-stroke engines. The Annex VI to Marpol Convention enforce to ship - owners necessity of periodical direct measurements of the NOx emission from the ship engines. It is very expensive procedure but with a low accuracy. Presented investigations show the possibility of estimation the NOx emission without direct measurements but using the artificial neural network (ANN). The paper presents chosen structures of ANN's usable to NOx emission estimation, the laboratory investigations and effects of estimation NOx emission. The paper reports the effects of investigations during different points of load the engine, with constant and changeable air/fuel equivalence ratio. The detailed results of measurement and calculation of NOx concentration in the exhaust gases of marine two-stroke diesel engine were presented. The results show that the multilayer perception neural network (MLP) is sufficient to NOx emission estimation during onboard exploitation. The MLP network with 15 neurons in the hidden layer has best accuracy for data sets collected during running the engine with speed equal 200 rpm and constant air/fuel equivalence ratio and for both considered speeds of the engine with changeable air/fuel equivalence ratio.
Źródło:: Journal of KONES; 2008, 15, 4; 269-276
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The ANN approximation of the CH4 combustion model : the mixture composition
Autorzy:: Kowalski, J.
Powiązania:: https://bibliotekanauki.pl/articles/246942.pdf
Data publikacji:: 2010
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: modeling
internal combustion engines
approximation
artificial neural network
combustion process
chemical species
Opis:: The calculation of the changing of the combustion mixture composition during the combustion process of the CH4 is presented of the paper. Correct calculation results of the mixture composition during the combustion process in combustion chambers of internal combustion engines is important to define the heat release calculation, modeling and simulation of the combustion phenomena. The paper presents results of calculations for the GriMech 3 kinetic mechanism of the methane combustion for different thermodynamic parameters and the composition of the combusted mixture. Results of the kinetic calculation of combustion process are qualitatively consistent with the data available in literature. The second purpose of research was the approximation of obtained results with the trained artificial neural network. Input data needed to approximate mole fractions of considered in the GriMech 3 mechanism combustion process chemical species consisted of 52 mole fractions of initial chemical species and temperature and pressure process. For all considered chemical species the mean square error did not exceed a value of 1-10-2 %, but the maximum error for a single value of 43 species excess even more than 100% of the value of mole fraction values taken from kinetic calculations. Single values of errors disqualify the neural network application for modeling of mole fractions of chemical species.
Źródło:: Journal of KONES; 2010, 17, 2; 233-240
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The ANN approximation of the CH4 combustion model : the heat release
Autorzy:: Kowalski, J.
Powiązania:: https://bibliotekanauki.pl/articles/246946.pdf
Data publikacji:: 2010
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: modelling
internal combustion engines
approximation
artificial neural network
combustion process
heat release
Opis:: The calculation of the heat release from the combustion process of the CH4 is presented of the paper. Correct calculation results of the heat released from combustion is important for design, modelling and testing phenomena in combustion chambers of internal combustion engines. The paper presents results of calculations for the kinetic mechanism of methane combustion GriMech 3 for different thermodynamic parameters and composition of the combusted mixture. The calculations were performed for all possible configurations of the variable temperaturę range from 1100K to 3600K, the variable pressure in the range of 2MPa to 5MPa, variable humidity of charged air from 10 to 30 grams of water per l kg of air and variable mole fractions of charge air. Results of the kinetic calculation of combustion process are qualitatively consistent with the data available in literature. The next stage of research was approximation of obtained results with the trained artificial neural network. Input data needed to approximate the energy of the combustion process consisted of 52 mole fractions of chemical species and temperature and pressure process. Approximation results have meant square error not exceeded 0.04% for the test data and 0.02% for the validation data. The maximum error for a single result was 1.9% compared to data obtained with chemical kinetic calculations.
Źródło:: Journal of KONES; 2010, 17, 2; 225-232
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: The NOx emission estimation by the artificial neural network: the analyze
Autorzy:: Kowalski, J.
Powiązania:: https://bibliotekanauki.pl/articles/244207.pdf
Data publikacji:: 2008
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: emission
NOx
nitric oxides
ANN
artificial neural network
perceptron
ship diesel engine
Opis:: The paper presents the preliminary investigations of nitric oxides (NOx) estimation from marine two-stroke engines. The Annex VI to Marpol Convention enforce to ship-owners necessity of periodical direct measurements of the NOx emission from the ship engines. It is very expensive procedure but with a low accuracy. Presented investigations show the possibility of estimation the NOx emission without direct measurements but using the artificial neural network (ANN). The paper presents method of choice the input data influenced on NOx emission and configuration of ANN and effects of calculations. The input data poses 15 parameters of engine working, influencing on NOx emission. The output data, necessary to learning the network, were NOx concentration in engine exhaust gases. We take into account two types of ANN; the 3-layer perceptron (MLP) with number of neurons in the hidden layer from 10 to 20 and the radial basis function neural network (RBF) with number of neurons in the hidden layer from 10 to 80. The input, validation and verification data was obtained from laboratory tests. After procedure of network configuration, the chosen ANN was learned by back propagation method. During this operation the weights of neurons were changed to minimize the root mean square error. We obtained ANN's, which allow us to estimate the NOx emission from laboratory engine with accuracy, comparable with Annex VI regulations.
Źródło:: Journal of KONES; 2008, 15, 2; 225-232
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: ANN based evaluation of the NOx concentration in the exhaust gas of a marine two-stroke diesel engine
Autorzy:: Kowalski, J.
Powiązania:: https://bibliotekanauki.pl/articles/258708.pdf
Data publikacji:: 2009
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: artificial neural network
marine two-stroke engine
NOx concentration
Annex VI to Marpol Convention
Opis:: The article presents results of a study on the possible application of artificial neural networks (ANNs) to the evaluation of NOx concentration in the exhaust gas of a marine two-stroke Diesel engine. A concept is presented how to use the ANN as an alternative to direct measurements carried out on a ship at sea. Methods of proper ANN selection, configuration and training are presented. Also included are the results of laboratory tests, performed to obtain data for ANN training and tests, and the results obtained from modelling certain processes with the aid of selected ANNs. As a result of the performed investigations, an ANN was constructed and trained to calculate NOx concentration in the Diesel engine exhaust gas based on the engine operation parameters measured with an average error of 1.83% , and the fuel consumption measured with an average error of 1.12%.
Źródło:: Polish Maritime Research; 2009, 2; 60-66
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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