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Pregled bibliografske jedinice broj: 129657

Applying of neural networks for determining the frequency of condition monitoring tasks


Šarić, Tomislav; Majdandžić, Niko; Lujić, Roberto
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)


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 &#8220 ; ; Inteligent Manufacturing & Automation: Learning from Nature&#8221 ; ; / - Beč, 2002, 487-489

Skup
13th International DAAAM Symposium &#8220 ; ; Inteligent Manufacturing & Automation: Learning from Nature&#8221 ; ;

Mjesto i datum
Beč, Austrija, 23-26.10.2002

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



POVEZANOST RADA


Projekt / tema
0152014

Ustanove
Strojarski fakultet, Slavonski Brod