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Integrating Bi-Bi-LSTM-Based Virtual Sensing and VAE for Sensor-Efficient Unsupervised Structural Damage Detection

dc.contributor.authorAbu Zouriq, Mubarak Faisal
dc.contributor.authorLinzell, Daniel G.
dc.contributor.authorEftekhar Azam, Yashar
dc.date.accessioned2026-08-20T10:51:47Z
dc.date.available2026-08-20T10:51:47Z
dc.date.copyright2026/05/28
dc.date.issued2026
dc.identifier.otherJENMDT.EMENG-8825.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311365
dc.description.abstractAbstractA key component to determining bridge conditions and functionality is implementing structural health monitoring (SHM) systems that analyze structural behavior under variable loading conditions. Effective data-driven SHM requires distributed data ...
dc.publisherAmerican Society of Civil Engineers
dc.titleIntegrating Bi-Bi-LSTM-Based Virtual Sensing and VAE for Sensor-Efficient Unsupervised Structural Damage Detection
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue8
dc.journal.titleJournal of Engineering Mechanics
dc.identifier.doi10.1061/JENMDT.EMENG-8825
dc.journal.fristpage04026037-1
dc.journal.lastpage04026037-21
dc.page21
dc.treeJournal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 008
dc.contenttypeFulltext


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