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Machine Learning–Based Correlation Methods for Satellite Thermal Analysis Models

dc.contributor.authorKang, Jaewon
dc.contributor.authorCho, Jin Yeon
dc.contributor.authorKim, Jeong Ho
dc.date.accessioned2026-08-20T21:12:25Z
dc.date.available2026-08-20T21:12:25Z
dc.date.copyright2025/10/14
dc.date.issued2026
dc.identifier.otherJAEEEZ.ASENG-5755.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314113
dc.description.abstractAbstractAccurate thermal analysis is essential for reliable satellite thermal design. To improve the accuracy of thermal analysis, thermal analysis model correlation is performed using thermal vacuum chamber test results. However, conventional correlation ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMachine Learning–Based Correlation Methods for Satellite Thermal Analysis Models
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue1
dc.journal.titleJournal of Aerospace Engineering
dc.identifier.doi10.1061/JAEEEZ.ASENG-5755
dc.journal.fristpage04025115-1
dc.journal.lastpage04025115-13
dc.page13
dc.treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001
dc.contenttypeFulltext


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