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

Dragutin Lisjak ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
Gojko Marić ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia
Nedjeljko Štefanić ; Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia

Puni tekst: engleski, pdf (1 MB) str. 857-862 preuzimanja: 303* citiraj
APA 6th Edition
Lisjak, D., Marić, G. i Štefanić, N. (2012). Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content. Tehnički vjesnik, 19 (4), 857-862. Preuzeto s https://hrcak.srce.hr/93559
MLA 8th Edition
Lisjak, Dragutin, et al. "Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content." Tehnički vjesnik, vol. 19, br. 4, 2012, str. 857-862. https://hrcak.srce.hr/93559. Citirano 31.05.2020.
Chicago 17th Edition
Lisjak, Dragutin, Gojko Marić i Nedjeljko Štefanić. "Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content." Tehnički vjesnik 19, br. 4 (2012): 857-862. https://hrcak.srce.hr/93559
Harvard
Lisjak, D., Marić, G., i Štefanić, N. (2012). 'Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content', Tehnički vjesnik, 19(4), str. 857-862. Preuzeto s: https://hrcak.srce.hr/93559 (Datum pristupa: 31.05.2020.)
Vancouver
Lisjak D, Marić G, Štefanić N. Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content. Tehnički vjesnik [Internet]. 2012 [pristupljeno 31.05.2020.];19(4):857-862. Dostupno na: https://hrcak.srce.hr/93559
IEEE
D. Lisjak, G. Marić i N. Štefanić, "Studying the possibility of neural network application in the diagnostics of a small four-stroke petrol engine by wear particle content", Tehnički vjesnik, vol.19, br. 4, str. 857-862, 2012. [Online]. Dostupno na: https://hrcak.srce.hr/93559. [Citirano: 31.05.2020.]
Puni tekst: hrvatski, pdf (1 MB) str. 857-862 preuzimanja: 220* citiraj
APA 6th Edition
Lisjak, D., Marić, G. i Štefanić, N. (2012). Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja. Tehnički vjesnik, 19 (4), 857-862. Preuzeto s https://hrcak.srce.hr/93559
MLA 8th Edition
Lisjak, Dragutin, et al. "Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja." Tehnički vjesnik, vol. 19, br. 4, 2012, str. 857-862. https://hrcak.srce.hr/93559. Citirano 31.05.2020.
Chicago 17th Edition
Lisjak, Dragutin, Gojko Marić i Nedjeljko Štefanić. "Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja." Tehnički vjesnik 19, br. 4 (2012): 857-862. https://hrcak.srce.hr/93559
Harvard
Lisjak, D., Marić, G., i Štefanić, N. (2012). 'Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja', Tehnički vjesnik, 19(4), str. 857-862. Preuzeto s: https://hrcak.srce.hr/93559 (Datum pristupa: 31.05.2020.)
Vancouver
Lisjak D, Marić G, Štefanić N. Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja. Tehnički vjesnik [Internet]. 2012 [pristupljeno 31.05.2020.];19(4):857-862. Dostupno na: https://hrcak.srce.hr/93559
IEEE
D. Lisjak, G. Marić i N. Štefanić, "Istraživanje mogućnosti primjene neuronske mreže u dijagnostici četverotaktnog benzinskog motora pomoću sadržaja čestica trošenja", Tehnički vjesnik, vol.19, br. 4, str. 857-862, 2012. [Online]. Dostupno na: https://hrcak.srce.hr/93559. [Citirano: 31.05.2020.]

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.

Ključne riječi
neural network; maintenance; motor engine diagnostics

Hrčak ID: 93559

URI
https://hrcak.srce.hr/93559

[hrvatski]

Posjeta: 795 *