Prediction of Forging Ingots Defects Using Neural Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F11%3A86080579" target="_blank" >RIV/61989100:27230/11:86080579 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27360/11:86080579 RIV/61989100:27240/11:86080579

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Forging Ingots Defects Using Neural Networks

Popis výsledku v původním jazyce

At some types of ingots technological deviations exhibit by defects, which occur as late as in the process of forging. Prediction of such defects would enable a fast intervention and thus reducing costs for the reparation. Statistically was proven, thatthe defects are not caused by exceeding of any measured parameter in the production. However, they are caused by an unsuitable combination of more parameters. In such case artificial intelligence elements can be successfully applied. A multilayer artificial neural network was used for the prediction of defective ingots. Results, which were reached at prediction with neural network, are very interesting. In some cases even 100% accordance occurred.

Název v anglickém jazyce

Prediction of Forging Ingots Defects Using Neural Networks

Popis výsledku anglicky

At some types of ingots technological deviations exhibit by defects, which occur as late as in the process of forging. Prediction of such defects would enable a fast intervention and thus reducing costs for the reparation. Statistically was proven, thatthe defects are not caused by exceeding of any measured parameter in the production. However, they are caused by an unsuitable combination of more parameters. In such case artificial intelligence elements can be successfully applied. A multilayer artificial neural network was used for the prediction of defective ingots. Results, which were reached at prediction with neural network, are very interesting. In some cases even 100% accordance occurred.

Druh

D - Stať ve sborníku

CEP obor

JG - Hutnictví, kovové materiály

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI3%2F818" target="_blank" >FR-TI3/818: *ZEVNÍ FIXACE</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Recent Researches in Engineering and Automatic Control

ISBN

978-1-61804-057-2

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

38-41

Název nakladatele

WSEAS Press

Místo vydání

Neuvedeno

Místo konání akce

Puerto De La Cruz, Tenerife

Datum konání akce

10. 12. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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