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Vibroacoustic Real Time Fuel Classification in Diesel Engine

Bąkowski A., Kekez M., Radziszewski L., Sapietova A.

Archives of Acoustics

2018

Vol. 43, No. 3

385--395

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.