prikaz prve stranice dokumenta Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm
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Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm
Pomorstvo, 34 (2020), 2; 323-337. https://doi.org/10.31217/p.34.2.13
Anđelić, Nikola; Baressi Šegota, Sandi; Lorencin, Ivan; Car, Zlatan

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Anđelić, N., Baressi Šegota, S., Lorencin, I. i Car, Z. (2020). Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm. Pomorstvo, 34. (2), 323-337. doi: 10.31217/p.34.2.13

Anđelić, Nikola, et al. "Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm." Pomorstvo, vol. 34, br. 2, 2020, str. 323-337. https://doi.org/10.31217/p.34.2.13

Anđelić, Nikola, Sandi Baressi Šegota, Ivan Lorencin i Zlatan Car. "Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm." Pomorstvo 34, br. 2 (2020): 323-337. https://doi.org/10.31217/p.34.2.13

Anđelić, N., et al. (2020) 'Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm', Pomorstvo, 34(2), str. 323-337. doi: 10.31217/p.34.2.13

Anđelić N, Baressi Šegota S, Lorencin I, Car Z. Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm. Pomorstvo [Internet]. 12.2020. [pristupljeno 10.07.2024.];34(2):323-337. doi: 10.31217/p.34.2.13

N. Anđelić, S. Baressi Šegota, I. Lorencin i Z. Car, "Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm", Pomorstvo, vol. 34, br. 2, str. 323-337, Prosinac 2020. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:187:662212. [Citirano: 10.07.2024.]

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Podaci o radu
Naslov (engleski)Estimation of gas turbine shaft torque and fuel flow of a CODLAG propulsion system using genetic programming algorithm
AutorNikola Anđelić
AutorSandi Baressi Šegota https://orcid.org/0000-0002-3015-1024
AutorIvan Lorencin
AutorZlatan Car https://orcid.org/0000-0003-2817-9252
Autorova ustanovaSveučilište u Rijeci
Tehnički fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Tehnologija prometa i transport
Sažetak (engleski)
In this paper, the publicly available dataset of condition based maintenance of combined diesel-electric and gas (CODLAG) propulsion system for ships has been utilized to obtain symbolic expressions which could estimate gas turbine shaft torque and fuel flow using genetic programming (GP) algorithm. The entire dataset consists of 11934 samples that was divided into training and testing portions of dataset in an 80:20 ratio. The training dataset used to train the GP algorithm to obtain symbolic expressions for gas turbine shaft torque and fuel flow estimation consisted of 9548 samples. The best symbolic expressions obtained for gas turbine shaft torque and fuel flow estimation were obtained based on their R2 score generated as a result of the application of the testing portion of the dataset on the aforementioned symbolic expressions. The testing portion of the dataset consisted of 2386 samples. The three best symbolic expressions obtained for gas turbine shaft torque estimation generated R2 scores of 0.999201, 0.999296, and 0.999374, respectively. The three best symbolic expressions obtained for fuel flow estimation generated R2 scores of 0.995495, 0.996465, and 0.996487, respectively.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaPomorstvo
Brojčani podacivol. 34, br. 2, str. 323-337
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.34.2.13
URN:NBNurn:nbn:hr:187:662212
Datum objave publikacije2020-12
URL dokumentahttps://hrcak.srce.hr/247799
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2022-02-28 15:54:24