- Tytuł:
- Vibroacoustic Real Time Fuel Classification in Diesel Engine
- Autorzy:
-
Bąkowski, A.
Kekez, M.
Radziszewski, L.
Sapietova, A. - Powiązania:
- https://bibliotekanauki.pl/articles/177686.pdf
- Data publikacji:
- 2018
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
fuel recognition
classification trees
particle swarm optimization (PSO)
random forest - Opis:
- Five models and methodology are discussed in this paper for constructing classifiers capable of recognizing in real time the type of fuel injected into a diesel engine cylinder to accuracy acceptable in practical technical applications. Experimental research was carried out on the dynamic engine test facility. The signal of in-cylinder and in-injection line pressure in an internal combustion engine powered by mineral fuel, biodiesel or blends of these two fuel types was evaluated using the vibro-acoustic method. Computational intelligence methods such as classification trees, particle swarm optimization and random forest were applied.
- Źródło:
-
Archives of Acoustics; 2018, 43, 3; 385-395
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł