- Tytuł:
- The use of neural network algorithms for modeling injection doses of modern fuel injectors
- Autorzy:
-
Abramek, Karol Franciszek
Osipowicz, Tomasz
Mozga, Łukasz - Powiązania:
- https://bibliotekanauki.pl/articles/2097510.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polskie Towarzystwo Naukowe Silników Spalinowych
- Tematy:
-
fuel injector
CI engine
Common Rail system
neural network
engine diagnosing
wtryskiwacz paliwa
silnik o zapłonie samoczynnym
układ Common Rail
sieć neutronowa
diagnostyka silnika - Opis:
- The article presents the possibilities of using artificial intelligence methods to model the injection doses of a modern Common Rail (CR) fuel injector. The presented neural network solution belongs to the experimental models known as black boxes in mechatronics. The backpropagation algorithm and its Levenberg-Marquardt expansion were used for the simulation. The analysis showed that there is a good match between the measurements and the computational model. The proposed solution can be used in the processes of diagnosing not only elements of the injection equipment, but also the internal combustion engine.
- Źródło:
-
Combustion Engines; 2021, 60, 2; 10--14
2300-9896
2658-1442 - Pojawia się w:
- Combustion Engines
- Dostawca treści:
- Biblioteka Nauki
Artykuł