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Fatigue limit state based on alarm thresholds for rail with machine learning

Public infrastructure is often monitored to assess quality. Alarm thresholds indicate when actions are necessary to improve passenger convenience and operational safety. Based on safety assessments, urgent rail replacements are proposed with a new approach for physical damage threshold extraction. R...

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Detalhes bibliográficos
Principais autores: Sadegh Lajevardi, Fereidoon Moghadas Nejad, Mehdi Ravanshadnia
Formato: Artigo
Idioma:Inglês
Publicado em: Iran University of Science & Technology 2023-12-01
coleção:International Journal of Railway Research
Assuntos:
Acesso em linha:http://ijrare.iust.ac.ir/article-1-330-en.pdf
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