Monitoring and ANN modeling of coal stockpile behavior under different atmospheric conditions

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dc.contributor.authorOzdeniz, A. H.
dc.contributor.authorOzbay, Y.
dc.contributor.authorYilmaz, N.
dc.contributor.authorSensogut, C.
dc.date.accessioned2020-03-26T17:27:16Z
dc.date.available2020-03-26T17:27:16Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, an industrial-sized stockpile of 5 m width, 4 m height, and 10 m length was built in a coal stock area to investigate coal stockpile behavior under different atmospheric conditions. The effective parameters on the coal stockpile that were time, weather temperature, atmospheric pressure, air humidity, velocity, and direction of wind values were automatically measured by means of a computer-aided measurement system to obtain Artificial Neural Network (ANN) input data. The coal stockpiles, which should be continuously observed, are capable of spontaneous combustion and then causing serious economical losses due to the mentioned parameters. Afterwards, these measurement values were used for training and testing of the ANN model. Comparison of the experimental and ANN results, accuracy rates of training, and testing were found as 98.6% and 98.7%, respectively. It is shown that possible coal stockpile behavior with this ANN model is powerfully estimated.en_US
dc.identifier.doi10.1080/15567030600829055en_US
dc.identifier.endpage507en_US
dc.identifier.issn1556-7036en_US
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage494en_US
dc.identifier.urihttps://dx.doi.org/10.1080/15567030600829055
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22520
dc.identifier.volume30en_US
dc.identifier.wosWOS:000252582100002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTAYLOR & FRANCIS INCen_US
dc.relation.ispartofENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectANNen_US
dc.subjectcoalen_US
dc.subjectcomputer-aided measurement systemen_US
dc.subjectmonitoring stockpilesen_US
dc.subjectspontaneous combustionen_US
dc.subjectstockpile system modelen_US
dc.titleMonitoring and ANN modeling of coal stockpile behavior under different atmospheric conditionsen_US
dc.typeArticleen_US

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