Data relating to: "Identifying challenges in quantifying uncertainty: case study in infrared thermography" (2018)
Date
2020-03-11 08:24
Supervisor/s
Journal Title
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Volume Title
Publisher
Cranfield University
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Dataset
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Citation
Grenyer, 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
Abstract
Excel 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
Description
Software Description
Software Language
Github
Keywords
'Uncertainty Quantification', 'Challenges', 'Industrial product service system', 'Complex engineering system', 'Thermography', 'Statistics', 'Manufacturing Engineering not elsewhere classified'
DOI
10.17862/cranfield.rd.11961435
Rights
CC BY 4.0