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Smart railways: AI-based track-side monitoring for wheel flat identification

Mohammadi, M; Mosleh, A; Cecília Vale; Ribeiro, D; Pedro Aires Montenegro; Meixedo, A

The wheel flat detection in trains using Artificial Intelligence (AI) has emerged as a critical advancement in railway maintenance and safety practices. AI systems can effectively identify geometric deformation in wheel rotation patterns, indicative of potential wheel flat damage, resorting to wayside monitoring systems and machine learning algorithms. This study aims to propose an unsupervised learning algorit...

Date: 2025   |   Origin: Repositório Aberto da Universidade do Porto
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