Data relating to: "Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance" (2021)

dc.contributor.author	Grenyer, Alex
dc.contributor.author	ahmet Erkoyuncu, John
dc.contributor.author	Addepalli, Pavan
dc.contributor.author	Zhao, Yifan
dc.date.accessioned	2024-06-07T03:32:56Z
dc.date.available	2024-06-07T03:32:56Z
dc.date.issued	2023-05-24 11:00
dc.description.abstract	Tables summarising variables used, calculated in MATLAB Images: Figures 1-4 as in the manuscript README.txt Excel file corresponding to data in the manuscript
dc.description.sponsorship	Advanced Uncertainty Quantification Techniques for Maintenance Planning
dc.identifier.citation	Grenyer, Alex; Erkoyuncu, John ahmet; Addepalli, Pavan; Zhao, Yifan (2023). Data relating to: "Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance" (2021). Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.13550561
dc.identifier.doi	10.17862/cranfield.rd.13550561
dc.identifier.uri	https://dspace.lib.cranfield.ac.uk/handle/1826/22107
dc.publisher	Cranfield University
dc.relation.isreferencedby	https://doi.org/10.3390/machines11050560'
dc.rights	CC BY 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	'Manufacturing Engineering not elsewhere classified'
dc.subject	'Statistics'
dc.subject	'Applied Statistics'
dc.title	Data relating to: "Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance" (2021)
dc.type	Dataset