13 documents found, page 1 of 2

Classificação automática e sem supervisão de rodas poligonizadas em veículos fe...

Probabilistic analysis of train running safety on bridges: a state-of-the-art r...

Train running safety when crossing bridges is an important issue due to the catastrophic consequences of possible derailments. Recent developments in railway technology have led to a great increase in operational speeds and axle loads, leading to significant dynamic amplifications and possibly structural and running safety issues. Assessment of derailment coefficients and running safety indexes is performed usi...

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

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...

Unsupervised Severity Assessment of Railway Multi-Wheel Flats Using Reconstruct...

Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicl...

Polygonal wheels are one of the most common defects in train wheels, causing a reduction in comfort levels for passengers and a higher degradation of vehicle and track components. With the aim of contributing to the safety and reliability of railway transport, this paper presents the development of an innovative methodology for classifying polygonal wheels based on a wayside system. To achieve that, a numerical...

Critical analysis of the current Eurocode deck acceleration limit for evaluatin...

The assessment of running safety of railway bridges is conditioned by the Eurocode EN 1990 A2 by limiting vertical deck acceleration. On ballastless track bridges, this value is 5 m/s 2 . The background for this value is not clear, and it is believed that it originates in the application of an arbitrary safety factor of 2 on accelerations around 1 g to avoid loss of wheel-rail contact. However, studies show tha...

Early identification of out-of-roundness damage wheels in railway freight vehic...

Early identification of wheel defects can prevent serious damage to railways, considerably lowering maintenance costs for both railway administrations and rolling stock operators. Within this context, an unsupervised methodology based on artificial intelligence techniques is presented, which allows the detection and classification of out-of-roundness damage wheels, such as wheel flats and polygonal wheels, base...

Avaliação eficiente da segurança estrutural de pontes ferroviárias de betão com...

Algorithm development for out-of-roundness detection in railway vehicles

Influence of track and vehicle wheel damages in the train running safety