Wheelsets are important components of railway vehicles, and their health directly affects
running safety, operation efficiency, and passenger comfort, so it is particularly important to …

Through the integration of advanced sensor technologies and machine learning algorithms,
artificial intelligence has revolutionized wayside monitoring in the railway sector. Although …

The railway sector has witnessed a significant surge in condition-based maintenance,
thanks to the proliferation of sensing technologies and data-driven methodologies, such as …

Wheel flats are amongst the most common local surface defect in railway wheels, which can
result in repetitive high wheel–rail contact forces and thus lead to rapid deterioration and …

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 …

Given the significant role of the railway sector in transportation, railway managers and
operators place great importance on traffic and maintenance costs. While existing track …

The increasing use of condition monitoring of the railway infrastructure has led railway
companies to take advantage of artificial intelligence (AI) technologies. The main goal of this …

Onboard monitoring of freight car axleboxes enhances safety, reduces maintenance costs,
and improves track conditions by preventing secondary damage. Installing wireless sensors …

Wheel/rail interaction is one of the most important research topics in railway engineering
and generally includes impact response, vibrations, and track safety. Track structure failures …

A presente dissertação foca-se no desenvolvimento e aplicação de uma estratégia híbrida
de técnicas de Inteligência Artificial (IA) para detetar rodas com defeitos de circularidade no …