An artifical neural network usage in measurement of exhaust gas emission from marine engines: case study

• Autorzy: Kowalski J. , Rudzki K.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the case study of use the artificial neural network to predict the main propulsion marine engine load. Mentioned load of the engine is important parameter to assess the emission level of toxic compounds into the atmosphere according to ISO standard and MARPOL convention. The engine load depends on the ship speed, rotational speed of the engine, propeller blades settings, the direction and the speed of wind, the condition of sea and the direction and the speed of sea currents and construction parameters of the ship. The realization of the aim of the work requires the direct measurement of presented parameters and measurement of exhaust gas composition. The experiment was carried out onboard STS “Pogoria”. Obtained results are enough to use the ANN to predict engine load to measure the emission level of toxic compounds.

Słowa kluczowe

EN

marine engine; emission; neural network; measurement; power approximation

PL

silnik okrętowy; emisja; sieć neuronowa; pomiar

• Wydawca: Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology
• Czasopismo: Journal of Polish CIMEEAC
• Rocznik: 2016
• Tom: Vol. 11, no 1
• Strony: 87--93
• Opis fizyczny: Bibliogr. 20 poz., wykr., tab.

Twórcy

autor

Kowalski J.

• Gdynia Maritime University Department of Engineering Sciences Morska Street 81-87, 81-225 Gdynia, Poland tel.: [phone], fax: [phone]

autor

Rudzki K.

• Gdynia Maritime University Department of Engineering Sciences Morska Street 81-87, 81-225 Gdynia, Poland tel.: [phone], fax: [phone]

Bibliografia

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• [16] Kowalski J., Wpływ wybranych niesprawności układu doładowania na skład emitowanych spalin z czterosuwowego silnika okrętowego, Zeszyty Naukowe AMW w Gdyni, Vol. 178A, pp. 139 – 144, Gdynia 2009.
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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.