Archives of Acoustics, 43, 3, pp. 385–395, 2018
10.24425/123910

Vibroacoustic Real Time Fuel Classification in Diesel Engine

Andrzej BĄKOWSKI
Kielce University of Technology,
Poland

Michał KEKEZ
Kielce University of Technology
Poland

Leszek RADZISZEWSKI
Kielce University of Technology
Poland

Alžbeta SAPIETOVA
University of Žilina
Slovakia

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.
Keywords: fuel recognition; classification trees; particle swarm optimization; random forest
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DOI: 10.24425/123910

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