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 …

Early identification of wheel defects can prevent serious damage to railways, considerably
lowering maintenance costs for both railway administrations and rolling stock operators …

Wayside inspection of rolling stock has been around for some time and wheel impact load
and fiber‐grating sensors are actively explored for getting high‐fidelity data. Visual …

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 …

The key dimensions of train wheelsets change with the increase of running time. To ensure
the safe operation of the train, the key dimensions should meet the relevant technical …

Abstract Integrating Industry 4.0 and Quality 4.0 optimises manufacturing through IoT and
ML, improving processes and product quality. The primary challenge involves identifying …

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 …

High-speed railway bridges are essential components of any railway transportation system
that should keep adequate levels of serviceability and safety. In this context, drive-by …

Within the big data paradigm, there is an increasing demand for machine learning with
automatic configuration of hyperparameters. Although several algorithms have been …

The vehicle–track interaction generates forces and consequently vibrations in the
environment. The interaction has been analysed by the simultaneous measurements of …