Prediction of combustion states from flame image in a domestic coal burner

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dc.authoridDAŞKIN, Mahmut/0000-0001-7777-1821
dc.authoridGolgiyaz, Sedat/0000-0003-0305-9713
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authoridonat, cem/0000-0002-4295-4860
dc.authorwosidDAŞKIN, Mahmut/AAT-4529-2021
dc.authorwosidGolgiyaz, Sedat/GSI-4458-2022
dc.authorwosidTORAMAN, SUAT/GYI-8653-2022
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.authorwosidOnat, Cem/W-7629-2018
dc.contributor.authorOnat, Cem
dc.contributor.authorDaskin, Mahmut
dc.contributor.authorToraman, Suat
dc.contributor.authorGolgiyaz, Sedat
dc.contributor.authorTalu, Muhammed Fatih
dc.date.accessioned2024-08-04T20:50:13Z
dc.date.available2024-08-04T20:50:13Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractCoal is still a strategic fuel for many developing countries. The environmental impact of emissions resulting from the widespread use of coal worldwide is a matter of serious debate. In this perspective, clean coal burning technologies are in demand. In this study, a measurement system that estimates emission from flame images in a domestic coal burner is proposed. The system consists of a charge-coupled device camera, image processing software (real time image acquisition, noise reduction and extracting features) and artificial intelligence elements (classification of features by neural networks). In feature extraction stage, only five flame region features (G(x), G(y) , trace, L (2) and L (infinity) norm) is extracted. G(cx) and G(cy) are the instantaneous change of the horizontal and vertical components of center mass of the flame image. These features are new concepts for emission estimation from the flame image. The proposed system makes a difference with its simpler structure and higher accuracy compared to its counterparts previously presented in the literature.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [117M121]; MIMSAN ASen_US
dc.description.sponsorshipThis work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK, Project No. 117M121) and MIMSAN AS.en_US
dc.identifier.doi10.1088/1361-6501/abe446
dc.identifier.issn0957-0233
dc.identifier.issn1361-6501
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85105484607en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1088/1361-6501/abe446
dc.identifier.urihttps://hdl.handle.net/11616/99915
dc.identifier.volume32en_US
dc.identifier.wosWOS:000646859500001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIop Publishing Ltden_US
dc.relation.ispartofMeasurement Science and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectemission measurementen_US
dc.subjectcoalen_US
dc.subjectpredictionen_US
dc.subjectflameen_US
dc.subjectimage processingen_US
dc.subjectANN regressionen_US
dc.subjectcombustion controlen_US
dc.titlePrediction of combustion states from flame image in a domestic coal burneren_US
dc.typeArticleen_US

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