Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022)

Files

1-s2.0-S1755581722000025-main.pdf (13.44 MB)
data_fd001.mat (7.64 MB)
Figures in manuscript.pptx (3.91 MB)
Additional simulated data.pptx (977.08 KB)
aUPLD.mlapp (445.83 KB)

Date published

2022-01-24 12:52

Free to read from

Authors

Grenyer, Alex
Schwabe, Oliver
ahmet Erkoyuncu, John
Zhao, Yifan

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/22110

Citation

Grenyer, Alex; Schwabe, Oliver; Erkoyuncu, John ahmet; Zhao, Yifan (2022). Data relating to: "Multistep prediction of dynamic uncertainty under limited data" (2022). Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.14381987

Abstract

Excel file: Symmetry trends used to establish correlation factorExcel file: Forecast method comparisonPowerPoint file: Figures in manuscriptPowerPoint file: Figures from additional simulationsMATLAB files to run the app and readme txt with instructions

Description

Software Description

Software Language

Github

Keywords

'long-short term memory network (LSTM)', 'Multistep', 'Prediction Analysis', 'Spatial geometry', 'Uncertainty Analysis', 'Manufacturing Engineering not elsewhere classified', 'Statistics', 'Applied Statistics', 'Statistics not elsewhere classified'

DOI

10.17862/cranfield.rd.14381987

Rights

CC BY 4.0
https://creativecommons.org/licenses/by/4.0/

Relationships

Relationships

https://doi.org/10.1016/j.cirpj.2022.01.002'

Supplements

Funder/s

Advanced Uncertainty Quantification Techniques for Maintenance Planning

Collections

Manufacturing and Materials