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Pregled bibliografske jedinice broj: 609812

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


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, 19 (2012), 4; 857-862 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 609812 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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


Projekti:
120-1201780-1779 - Modeliranje svojstava materijala i parametara procesa (Filetin, Tomislav, MZOS ) ( POIROT)
120-1201833-1788 - Modificiranje površine izotermički poboljšanog nodularnog lijeva (Ivušić, Vinko, MZOS ) ( POIROT)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Gojko Marić (autor)

Avatar Url Dragutin Lisjak (autor)

Avatar Url Nedeljko Štefanić (autor)

Poveznice na cjeloviti tekst rada:

Hrčak

Citiraj ovu publikaciju:

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, 19 (2012), 4; 857-862 (međunarodna recenzija, članak, znanstveni)
Lisjak, D., Marić, G. & 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.
@article{article, year = {2012}, pages = {857-862}, keywords = {neural network, maintenance, motor engine diagnostics}, journal = {Tehni\v{c}ki vjesnik}, volume = {19}, number = {4}, issn = {1330-3651}, title = {Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content}, keyword = {neural network, maintenance, motor engine diagnostics} }
@article{article, year = {2012}, pages = {857-862}, keywords = {neural network, maintenance, motor engine diagnostics}, journal = {Tehni\v{c}ki vjesnik}, volume = {19}, number = {4}, issn = {1330-3651}, title = {Studying the possibility of neural network application in the diagnostics of a small four- stroke petrol engine by wear particle content}, keyword = {neural network, maintenance, motor engine diagnostics} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • Compendex (EI Village)
  • EMBASE (Excerpta Medica)
  • Fluidex (Fluid Engineering Abstracts)
  • Geobase
  • INSPEC
  • METADEX: Metals Science





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