Damage localisation using disparate damage states via domain adaptation

Damage localisation using disparate damage states via domain adaptation

A significant challenge of structural health monitoring (SHM) is the lack of labeled data collected from damage states. Consequently, the collected data can be incomplete, making it difficult to undertake machine learning tasks, to detect or predict the full range of damage states a structure may ex...

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Bibliographic Details
Main Authors: Chandula T. Wickramarachchi, Paul Gardner, Jack Poole, Clemens Hübler, Clemens Jonscher, Raimund Rolfes
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Data-Centric Engineering
Subjects:
damage localisation
distance metrics
domain adaptation
PBSHM
SHM
Online Access:https://www.cambridge.org/core/product/identifier/S2632673623000291/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632673623000291/type/journal_article

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