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Determining the frequency of condition based maintenance tasks with neural network (CROSBI ID 492873)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Šarić, Tomislav ; Majdandžić, Niko Determining the frequency of condition based maintenance tasks with neural network // 1st DAAAMInternationalConference on Advanced Technologies for Developing Countries / Katalinić, Branko (ur.). Slavonski Brod, 2002. str. 533 - 539-x

Podaci o odgovornosti

Šarić, Tomislav ; Majdandžić, Niko

engleski

Determining the frequency of condition based maintenance tasks with neural network

Use of modern maintenance approaches and strategies in production process ensures a high degree of machine and equipment availability and reliability to companies. Among other factors, this imposes itself as an important assumption in realization of production plan and dynamic market demands. Use of modern strategies means an implementation of knowledge, equipment and organization. Proper implementation declares itself in a cost-efficient approach. /1/. Condition based maintenance, in general, can be explained through several characteristic steps it is made up of, and those are: -Technical diagnostic, which, among other, determines the condition-indicators of the observed technical elements ; -Using historical data, we can analyse the changes in the trend of the indicator’ s condition in time ; -Finally, we can define the problem on the level of prediction of the element’ s condition in future.

Condition Based Maintenance; Neural Networks; Bering

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Podaci o prilogu

533 - 539-x.

2002.

objavljeno

Podaci o matičnoj publikaciji

1st DAAAMInternationalConference on Advanced Technologies for Developing Countries

Katalinić, Branko

Slavonski Brod:

Podaci o skupu

1st DAAAM International Conference on Advanced Technologies for Developing Countries

predavanje

12.09.2002-14.09.2002

Slavonski Brod, Hrvatska

Povezanost rada

Strojarstvo