Article

Structural health monitoring of railway truss bridge under moving train load using decision tree models and residual neural networks

2024-08-22

Abstract excerpt

<title>Abstract</title> <p>This paper introduces an efficient machine learning-based structural health monitoring method for railway truss bridges, addressing the time-consuming and error-prone nature of traditional approaches. By utilizing measured vibration responses under train load, the technique employs wavelets, Fourier transforms, and spectrograms to extract damage-induced changes in signals for training m...

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Literature Corpus work: aa373e28-c2aa-5193-a61d-8dd87ed1c079
DOI: 10.21203/rs.3.rs-4773407/v1

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