Pregled bibliografske jedinice broj: 129657
Applying of neural networks for determining the frequency of condition monitoring tasks
Applying of neural networks for determining the frequency of condition monitoring tasks // 13th International DAAAM Symposium “ ; ; Inteligent Manufacturing & Automation: Learning from Nature” ; ;
Beč, 2002. str. 487-489 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 129657 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Applying of neural networks for determining the frequency of condition monitoring tasks
Autori
Šarić, Tomislav ; Majdandžić, Niko ; Lujić, Roberto
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
13th International DAAAM Symposium “ ; ; Inteligent Manufacturing & Automation: Learning from Nature” ; ;
/ - Beč, 2002, 487-489
Skup
13th International DAAAM Symposium “ ; ; Inteligent Manufacturing & Automation: Learning from Nature” ; ;
Mjesto i datum
Beč, Austrija, 23.10.2002. - 26.10.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Condition Monitoring; Neural Networks; Condition Based Maintenance; Dynamic Plan; Rolling Bearing
Sažetak
The article shows the possible vision in problem solving of prediction physical values and condition monitoring intervals. These predictions are fundament for planning of conditional based maintenance. Planning of conditional based maintenance according to postulates has to be dynamic. For prediction problem back propagation neural network will be defined. Based on measure-simulated data for defined problem of rolling bearings learning and testing of neural network will be done. The results will be presented, as well.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
