Modern tendencies in vehicle-based condition monitoring of the railway track

HA Fernández-Bobadilla… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Condition monitoring (CM) describes the continuous observation of a dynamical system or
process in order to track the evolution of its state and to detect signs of faults in an early …

Wheel defect detection using a hybrid deep learning approach

K Shaikh, I Hussain, BS Chowdhry - Sensors, 2023 - mdpi.com
Defective wheels pose a significant challenge in railway transportation, impacting
operational performance and safety. Excessive traction and braking forces give rise to …

Eco-driving in railway lines considering the uncertainty associated with climatological conditions

M Blanco-Castillo, A Fernández-Rodríguez… - Sustainability, 2022 - mdpi.com
Eco-driving is a keystone in energy reduction in railways and a fundamental tool to
contribute to the Sustainable Development Goals in the transport sector. However, its results …

Deep learning-based fault detection in railway wheelsets using time series analysis

K Shaikh, I Hussain, BS Chowdhry - … Research Journal Of …, 2023 - search.informit.org
Maintenance of Railway rolling stock is usually scheduled based. However, the mechanical
parts, especially the wheelset may wear down prematurely due to several factors such as …

Estimation of Equivalent Conicity from Contactless Measurements of Wheel and Rail Profiles

L Pugi, L Bocciolini, F Piccioli, D Massini… - Journal of Physics …, 2022 - iopscience.iop.org
Abstract Measurement of Equivalent Conicity is quite important index to properly evaluate
geometric quality of rails and wheels. The way in which this index is evaluated is evaluated …