ASSESSMENT OF THE FURNACE STATUS FOR POSSIBLE OPTIMIZATION OF HEATING AND FITTING THE MODEL HEATING LEVEL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F19%3A10244484" target="_blank" >RIV/61989100:27360/19:10244484 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ASSESSMENT OF THE FURNACE STATUS FOR POSSIBLE OPTIMIZATION OF HEATING AND FITTING THE MODEL HEATING LEVEL
Original language description
This article aims to survey and evaluate the current state of the heating furnace and to analyze the operational data using data mining tools and artificial intelligence in order to capture the complex weaknesses of the current system and to propose those modifications that would allow deployment model management levels in its entirety.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
METAL 2019 : conference proceedings : peer reviewed : 28th International Conference on Metallurgy and Materials : May 22nd-24th 2019, Hotel Voronez I, Brno, Czech Republic, EU
ISBN
978-80-87294-92-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1787-1791
Publisher name
Tanger
Place of publication
Ostrava
Event location
Brno
Event date
May 22, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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