Research of the Operator's Advisory System Based on Fuzzy Logic for Pelletizing Equipment

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dc.contributor.authorAndriukaitis, Dariuscs
dc.contributor.authorLaucka, Andriuscs
dc.contributor.authorValinevicius, Algimantascs
dc.contributor.authorZilys, Mindaugascs
dc.contributor.authorMarkevicius, Vytautascs
dc.contributor.authorNavikas, Dangirutiscs
dc.contributor.authorŠotner, Romancs
dc.contributor.authorPetržela, Jiřícs
dc.contributor.authorJeřábek, Jancs
dc.contributor.authorHerencsár, Norbertcs
dc.contributor.authorKlimenta, Dardancs
dc.coverage.issue11cs
dc.coverage.volume11cs
dc.date.issued2019-11-12cs
dc.description.abstractFertilizer manufacturing in the chemical industry is closely related with agricultural production. More than a half of raw materials for food products are grown by fertilizing plants. The demand of fertilizers has been constantly increasing along the growth of human population. Fertilizer manufacturers face millions of losses each year due to poor quality products. One of the most common reasons is wrong decisions in control of manufacturing processes. Operator’s experience has the highest influence on this. The paper analyzes the pellet measurement data, collected at the fertilizer plant by using indirect measurements. The results of these measurements are used to construct the model of equipment status control, based on the fuzzy logic. The proposed solution allows to respond to changes in production parameters in a 7-10 times faster manner. On average, the manufacturer with the production volumes of up to 80 tonnes/hour, could have lost about 8400 tonnes/year of high-quality production. The publication seeks symmetry between human and system decision making.en
dc.formattextcs
dc.format.extent1-17cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSymmetry. 2019, vol. 11, issue 11, p. 1-17.en
dc.identifier.doi10.3390/sym11111396cs
dc.identifier.issn2073-8994cs
dc.identifier.orcid0000-0002-2430-1815cs
dc.identifier.orcid0000-0001-5286-9574cs
dc.identifier.orcid0000-0001-9487-5024cs
dc.identifier.orcid0000-0002-9504-2275cs
dc.identifier.other159875cs
dc.identifier.researcheridG-4209-2017cs
dc.identifier.researcheridDZG-2188-2022cs
dc.identifier.researcheridE-3929-2018cs
dc.identifier.researcheridA-6539-2009cs
dc.identifier.scopus21834721500cs
dc.identifier.scopus9333762000cs
dc.identifier.scopus23011945600cs
dc.identifier.scopus23012051100cs
dc.identifier.urihttp://hdl.handle.net/11012/184665
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSymmetrycs
dc.relation.urihttps://www.mdpi.com/2073-8994/11/11/1396cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2073-8994/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectaen
dc.titleResearch of the Operator's Advisory System Based on Fuzzy Logic for Pelletizing Equipmenten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-159875en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:31en
sync.item.modts2025.01.17 16:44:46en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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