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Structural health monitoring in a population of similar structures with self-supervised learning: a two-stage approach for enhanced damage detection and model tuning

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
This article introduces a novel self-supervised learning framework for structural health monitoring (SHM) that utilizes power spectral density (PSD) data to detect structural damage. The approach leverages PSD data to monitor structural health ...