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Towards the modeling of the hot rolling industrial process : preliminary results

2020
book section
conference proceedings
10.1007/978-3-030-62362-3_34
Publisher
Springer
Author
Szelążek Maciej

Bobek Szymon

Gonzales-Pardo Antonio

Nalepa Grzegorz
Editor
Analide Cesar

Novais Paulo

Camacho David

Yin Hujun
Book title / Journal title
Intelligent Data Engineering and Automated Learning – IDEAL 2020 : 21st International Conference Guimaraes, Portugal, November 4-6, 2020 proceedings, part I
Place of publication: Publisher
Cham : Springer International Publishing
Pages
385-396
ISBN
978-3-030-62361-6
eISBN
978-3-030-62362-3
Series
Lecture Notes in Computer Science
Serie's ISSN
0302-9743
Serie's eISSN
1611-3349
Number of serie
12489
Language
English
Book language / Journal language
English
Abstract in English

In the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a specific fully automated production line. While it is equipped with a number of industrial sensors, the acquired data has only been analyzed on a basic statistical level, mainly for reporting. In the paper we outline opportunities for the use of AI methods in order to improve the process and possibly the quality of the resulting product. We report on preliminary results using selected methods of eXplainable AI.

Conference
21st I International Conference on Intelligent Data Engineering and Automated Learning
Conference short name
IDEAL
Conference start date
2020-11-04
End date conference
2020-11-06
Conference city
Guimarães
Conference country
Portugal
Conference type
international
Affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
Scopus© citations
5
dc.abstract.enIn the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a specific fully automated production line. While it is equipped with a number of industrial sensors, the acquired data has only been analyzed on a basic statistical level, mainly for reporting. In the paper we outline opportunities for the use of AI methods in order to improve the process and possibly the quality of the resulting product. We report on preliminary results using selected methods of eXplainable AI.pl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanejpl
dc.conference21st I International Conference on Intelligent Data Engineering and Automated Learning
dc.conference.cityGuimarães
dc.conference.countryPortugal
dc.conference.datefinish2020-11-06
dc.conference.datestart2020-11-04
dc.conference.indexscopustrue
dc.conference.shortcutIDEAL
dc.contributor.authorSzelążek, Maciejpl
dc.contributor.authorBobek, Szymon - 428058 pl
dc.contributor.authorGonzales-Pardo, Antoniopl
dc.contributor.authorNalepa, Grzegorz - 200414 pl
dc.contributor.editorAnalide, Cesarpl
dc.contributor.editorNovais, Paulopl
dc.contributor.editorCamacho, Davidpl
dc.contributor.editorYin, Hujunpl
dc.date.accessioned2021-01-13T22:49:21Z
dc.date.available2021-01-13T22:49:21Z
dc.date.issued2020pl
dc.description.conftypeinternationalpl
dc.description.physical385-396pl
dc.description.seriesLecture Notes in Computer Science
dc.description.seriesnumber12489
dc.identifier.doi10.1007/978-3-030-62362-3_34pl
dc.identifier.eisbn978-3-030-62362-3pl
dc.identifier.isbn978-3-030-62361-6pl
dc.identifier.projectROD UJ / Opl
dc.identifier.serieseissn1611-3349
dc.identifier.seriesissn0302-9743
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/260461
dc.languageengpl
dc.language.containerengpl
dc.pubinfoCham : Springer International Publishingpl
dc.publisher.ministerialSpringerpl
dc.rightsDodaję tylko opis bibliograficzny*
dc.rights.licenceBez licencji otwartego dostępu
dc.rights.uri*
dc.subtypeConferenceProceedingspl
dc.titleTowards the modeling of the hot rolling industrial process : preliminary resultspl
dc.title.containerIntelligent Data Engineering and Automated Learning – IDEAL 2020 : 21st International Conference Guimaraes, Portugal, November 4-6, 2020 proceedings, part Ipl
dc.typeBookSectionpl
dspace.entity.typePublication
dc.abstract.enpl
In the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a specific fully automated production line. While it is equipped with a number of industrial sensors, the acquired data has only been analyzed on a basic statistical level, mainly for reporting. In the paper we outline opportunities for the use of AI methods in order to improve the process and possibly the quality of the resulting product. We report on preliminary results using selected methods of eXplainable AI.
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
dc.conference
21st I International Conference on Intelligent Data Engineering and Automated Learning
dc.conference.city
Guimarães
dc.conference.country
Portugal
dc.conference.datefinish
2020-11-06
dc.conference.datestart
2020-11-04
dc.conference.indexscopus
true
dc.conference.shortcut
IDEAL
dc.contributor.authorpl
Szelążek, Maciej
dc.contributor.authorpl
Bobek, Szymon - 428058
dc.contributor.authorpl
Gonzales-Pardo, Antonio
dc.contributor.authorpl
Nalepa, Grzegorz - 200414
dc.contributor.editorpl
Analide, Cesar
dc.contributor.editorpl
Novais, Paulo
dc.contributor.editorpl
Camacho, David
dc.contributor.editorpl
Yin, Hujun
dc.date.accessioned
2021-01-13T22:49:21Z
dc.date.available
2021-01-13T22:49:21Z
dc.date.issuedpl
2020
dc.description.conftypepl
international
dc.description.physicalpl
385-396
dc.description.series
Lecture Notes in Computer Science
dc.description.seriesnumber
12489
dc.identifier.doipl
10.1007/978-3-030-62362-3_34
dc.identifier.eisbnpl
978-3-030-62362-3
dc.identifier.isbnpl
978-3-030-62361-6
dc.identifier.projectpl
ROD UJ / O
dc.identifier.serieseissn
1611-3349
dc.identifier.seriesissn
0302-9743
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/260461
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
Cham : Springer International Publishing
dc.publisher.ministerialpl
Springer
dc.rights*
Dodaję tylko opis bibliograficzny
dc.rights.licence
Bez licencji otwartego dostępu
dc.rights.uri*
dc.subtypepl
ConferenceProceedings
dc.titlepl
Towards the modeling of the hot rolling industrial process : preliminary results
dc.title.containerpl
Intelligent Data Engineering and Automated Learning – IDEAL 2020 : 21st International Conference Guimaraes, Portugal, November 4-6, 2020 proceedings, part I
dc.typepl
BookSection
dspace.entity.type
Publication
Affiliations
Wydział Fizyki, Astronomii i Informatyki Stosowanej
Bobek, Szymon
Nalepa, Grzegorz
No affiliation
Szelążek, Maciej
Gonzales-Pardo, Antonio
Analide, Cesar
Novais, Paulo
Camacho, David
Yin, Hujun

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