ADVANCEMENTS IN STRUCTURAL HEALTH MONITORING: A REVIEW OF MACHINE LEARNING APPROACHES FOR DAMAGE DETECTION AND ASSESSMENT
Structural Health Monitoring (SHM) is a crucial discipline geared towards detecting damage in engineering structures early, aiming to prevent failures and facilitate condition-based maintenance. Traditional SHM methodologies, relying on visual inspections, analytical models, and signal processing,...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Publishing House ASV
2024-03-01
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| coleção: | International Journal for Computational Civil and Structural Engineering |
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| Acesso em linha: | https://ijccse.iasv.ru/index.php/ijccse/article/view/800 |
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