Determination of the fatigue state of the material under dynamic loading by thermal video image processing

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dc.contributor.authorSelek, Murat
dc.contributor.authorKahramanli, Sirzat
dc.date.accessioned2020-03-26T17:17:12Z
dc.date.available2020-03-26T17:17:12Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE 15th Signal Processing and Communications Applications Conference -- JUN 11-13, 2007 -- Eskisehir, TURKEYen_US
dc.description.abstractIn this study we propose an infrared thermography and artificial neural networks (ANNs) based method for obtaining the fatigue state of the steel specimen under bending fatigue. We use the thermal images (TIs) of the specimen under bending fatigue, taken by FUR E45 infrared camera at 1 Hz. By processing TIs using ANNs we obtain temperatures of the characteristic spots of the specimen surface. Based on these temperatures we fit curve on which we fix the temperatures of all spots of the specimen surface. The region of hottest spots of the TI obtained by this method allows us to kept under control the probably crack region of the tested specimen until it is fractured.en_US
dc.description.sponsorshipIEEEen_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-1-4244-0719-4
dc.identifier.startpage925en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21310
dc.identifier.wosWOS:000252924600232en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleDetermination of the fatigue state of the material under dynamic loading by thermal video image processingen_US
dc.typeConference Objecten_US

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