Data relating to: "Identifying challenges in quantifying uncertainty: case study in infrared thermography" (2018)

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dc.contributor.authorGrenyer, Alex
dc.contributor.authorAddepalli, Pavan
dc.contributor.authorZhao, Yifan
dc.contributor.authorOakey, Luke
dc.contributor.authorahmet Erkoyuncu, John
dc.contributor.authorRoy, Rajkumar
dc.date.accessioned2024-06-07T03:32:25Z
dc.date.available2024-06-07T03:32:25Z
dc.date.issued2020-03-11 08:24
dc.description.abstractExcel file corresponding to data in conference paper:'Paper tables' tab contains summary of variables used in the paper, calculated using MATLAB 'Conditions' tab contains recorded temperatures and humidity for each run read by MATLAB 'Readings' tab collates reading values for each run read by MATLAB'Run1-10' tabs contain data recorded for each run including ROI size and locationPowerPoint file: Conference presentation
dc.description.sponsorshipEPSRC grant number 1944319
dc.identifier.citationGrenyer, Alex; Addepalli, Pavan; Zhao, Yifan; Oakey, Luke; Erkoyuncu, John ahmet; Roy, Rajkumar (2020). Data relating to: "Identifying challenges in quantifying uncertainty: case study in infrared thermography" (2018). Cranfield Online Research Data (CORD). Conference contribution. https://doi.org/10.17862/cranfield.rd.11961435
dc.identifier.doi10.17862/cranfield.rd.11961435
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22082
dc.publisherCranfield University
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.procir.2018.03.301'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'Uncertainty Quantification'
dc.subject'Challenges'
dc.subject'Industrial product service system'
dc.subject'Complex engineering system'
dc.subject'Thermography'
dc.subject'Statistics'
dc.subject'Manufacturing Engineering not elsewhere classified'
dc.titleData relating to: "Identifying challenges in quantifying uncertainty: case study in infrared thermography" (2018)
dc.typeDataset

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