Assessment of train running safety on bridges: a literature review

PA Montenegro, H Carvalho, D Ribeiro, R Calçada… - Engineering …, 2021 - Elsevier
Train running safety is a major concern among railway engineers, since a derailment may
cause significant personal and material damages. This problem becomes more important if …

Early wheel flat detection: An automatic data-driven wavelet-based approach for railways

A Mosleh, A Meixedo, D Ribeiro… - Vehicle System …, 2023 - Taylor & Francis
Wheel defects can induce damage to the railway tracks, increasing considerable
maintenance costs for both railway administrations and rolling stock operators. This paper …

[HTML][HTML] Residential load shifting in demand response events for bill reduction using a genetic algorithm

B Mota, P Faria, Z Vale - Energy, 2022 - Elsevier
Flexible demand management for residential load scheduling, which considers constraints,
such as load operating time window and order between them, is a key aspect in demand …

Automatic clustering-based approach for train wheels condition monitoring

A Mosleh, A Meixedo, D Ribeiro… - … Journal of Rail …, 2023 - Taylor & Francis
The main goal of this paper is to present an unsupervised methodology to identify railway
wheel flats. This automatic damage identification algorithm is based on the acceleration …

A comparative study on the running safety of trains subjected to crosswinds simulated with different wind models

PA Montenegro, R Heleno, H Carvalho… - Journal of Wind …, 2020 - Elsevier
This article presents a study on the train stability against crosswinds simulated with different
wind models. The work focuses on the evaluation of derailment indexes, which are …

Railway vehicle wheel flat detection with multiple records using spectral kurtosis analysis

A Mosleh, PA Montenegro, PA Costa, R Calçada - Applied Sciences, 2021 - mdpi.com
The gradual deterioration of train wheels can increase the risk of failure and lead to a higher
rate of track deterioration, resulting in less reliable railway systems with higher maintenance …

An unsupervised learning approach for wayside train wheel flat detection

M Mohammadi, A Mosleh, C Vale, D Ribeiro… - Sensors, 2023 - mdpi.com
One of the most common types of wheel damage is flats which can cause high maintenance
costs and enhance the probability of failure and damage to the track components. This study …

[HTML][HTML] Impact of the train-track-bridge system characteristics in the runnability of high-speed trains against crosswinds-Part I: Running safety

PA Montenegro, H Carvalho, M Ortega… - Journal of Wind …, 2022 - Elsevier
This paper studies the influence of different factors related to the structure-track-vehicle
coupling system in the train's stability against crosswinds, namely the bridge lateral …

An approach for wheel flat detection of railway train wheels using envelope spectrum analysis

A Mosleh, P Montenegro, P Alves Costa… - Structure and …, 2021 - Taylor & Francis
Due to the increasing demand for safer and faster rail transport, train wheelsets operating
under high axle loads require more careful and reliable inspections and maintenance …

[HTML][HTML] Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring

A Lourenço, C Ferraz, D Ribeiro, A Mosleh… - Engineering Failure …, 2023 - Elsevier
Through the integration of advanced sensor technologies and machine learning algorithms,
artificial intelligence has revolutionized wayside monitoring in the railway sector. Although …