Naslov
Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content

Autori
Lisjak, Dragutin ; Marić, Gojko ; Štefanić, Nedeljko

Izvornik
Tehnički vjesnik (1330-3651) 19 (2012), 4; 857-862

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
neural network; maintenance; motor engine diagnostics

Sažetak
This paper presents the application of artificial neural network (ANN) in engine diagnostics. One- layer feed-forward neural network which is trained using a back-propagation algorithm that updates the weights and biases values according to Levenberg-Marquardt algorithm has been established to predict the Wear Particle Content (WPC) using the number of working hours of the motor engine as input parameter. The generalization property of the developed ANN is very high, which is confirmed by a very good match between the predicted and the targeted values on a new data set that was not included in the training data set.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA