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Data-Driven Health Index Estimation and Multiagent Deep Reinforcement Learning for Optimizing Aeroengine Maintenance Strategies

dc.contributor.authorWan, Anping
dc.contributor.authorHua, Zhang
dc.contributor.authorAL-Bukhaiti, Khalil
dc.contributor.authorCheng, Xiaomin
dc.contributor.authorJi, Xiaosheng
dc.contributor.authorWang, Jinglin
dc.contributor.authorShan, Tianmin
dc.date.accessioned2026-08-20T21:14:34Z
dc.date.available2026-08-20T21:14:34Z
dc.date.copyright2026/03/10
dc.date.issued2026
dc.identifier.otherJAEEEZ.ASENG-6463.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314170
dc.description.abstractAbstractThis paper presents a novel framework for optimizing aeroengine maintenance strategies, addressing the limitations of traditional approaches that rely on simplified degradation models and fixed inspection intervals. The study proposes a multiagent ...
dc.publisherAmerican Society of Civil Engineers
dc.titleData-Driven Health Index Estimation and Multiagent Deep Reinforcement Learning for Optimizing Aeroengine Maintenance Strategies
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue3
dc.journal.titleJournal of Aerospace Engineering
dc.identifier.doi10.1061/JAEEEZ.ASENG-6463
dc.journal.fristpage04026014-1
dc.journal.lastpage04026014-14
dc.page14
dc.treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 003
dc.contenttypeFulltext


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