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

dc.contributor.authorGrenyer, Alex
dc.contributor.authorahmet Erkoyuncu, John
dc.contributor.authorAddepalli, Pavan
dc.contributor.authorZhao, Yifan
dc.date.accessioned2024-06-07T03:32:56Z
dc.date.available2024-06-07T03:32:56Z
dc.date.issued2023-05-24 11:00
dc.description.abstractTables 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.sponsorshipAdvanced Uncertainty Quantification Techniques for Maintenance Planning
dc.identifier.citationGrenyer, 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.doi10.17862/cranfield.rd.13550561
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22107
dc.publisherCranfield University
dc.relation.isreferencedbyhttps://doi.org/10.3390/machines11050560'
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject'Manufacturing Engineering not elsewhere classified'
dc.subject'Statistics'
dc.subject'Applied Statistics'
dc.titleData relating to: "Compound uncertainty quantification and aggregation (CUQA) for reliability measurement in industrial maintenance" (2021)
dc.typeDataset

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