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The Failure Rate Modeling using Neural Network (CROSBI ID 557856)

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

Lisjak, Dragutin ; Čala, Ivo ; Štefanić, Nedeljko The Failure Rate Modeling using Neural Network // Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium ... / Katalinić Branko (ur.). 2009. str. 1455-1457

Podaci o odgovornosti

Lisjak, Dragutin ; Čala, Ivo ; Štefanić, Nedeljko

engleski

The Failure Rate Modeling using Neural Network

The failure rate is one of the most important features in the theory of reliability, defined as the probability of failure in unit time of a device that is still working. This paper presents the possibility of the failure rate modeling using neural networks and comparison with classical models, i.e. modeling functions such as Exponential, Normal or Weibull. The paper is based on real examples shown statistical selection of optimal failure rate function and was proposal model and structure of neural networks as an improvement over the classical models.

failure rate; reliability; modelling; maintenance

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Podaci o prilogu

1455-1457.

2009.

objavljeno

Podaci o matičnoj publikaciji

Annals of DAAAM for 2009 & Proceedings of the 20th International DAAAM Symposium

Katalinić Branko

Beč: DAAAM International Vienna

978-3-901509-70-4

1726-9679

Podaci o skupu

DAAAM International Symposium (20 ; 2009)

predavanje

25.11.2009-28.11.2009

Beč, Austrija

Povezanost rada

Strojarstvo