Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content (CROSBI ID 188836)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lisjak, Dragutin ; Marić, Gojko ; Štefanić, Nedeljko
engleski
Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content
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.
neural network; maintenance; motor engine diagnostics
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Podaci o izdanju
19 (4)
2012.
857-862
objavljeno
1330-3651