Applying of neural networks for determining the frequency of condition monitoring tasks (CROSBI ID 492883)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šarić, Tomislav ; Majdandžić, Niko ; Lujić, Roberto
engleski
Applying of neural networks for determining the frequency of condition monitoring tasks
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.
Condition Monitoring; Neural Networks; Condition Based Maintenance; Dynamic Plan; Rolling Bearing
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Podaci o prilogu
487-489-x.
2002.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
13th International DAAAM Symposium “ ; ; Inteligent Manufacturing & Automation: Learning from Nature” ; ;
predavanje
23.10.2002-26.10.2002
Beč, Austrija