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izvor podataka: crosbi

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

Lisjak, Dragutin ; Marić, Gojko ; Štefanić, Nedeljko Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content // Tehnički vjesnik : znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 19 (2012), 4; 857-862

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

Povezanost rada

Strojarstvo

Poveznice
Indeksiranost