[HTML][HTML] On the fault detection and diagnosis of railway switch and crossing systems: An overview

M Hamadache, S Dutta, O Olaby, R Ambur, E Stewart… - Applied Sciences, 2019 - mdpi.com
Railway switch and crossing (S&C) systems have a very complex structure that requires not
only a large number of components (such as rails, check rails, switches, crossings, turnout …

Guided wave–based rail flaw detection technologies: State-of-the-art review

H Ge, D Chua Kim Huat, CG Koh… - Structural Health …, 2022 - journals.sagepub.com
The unavoidable increase in train speed and load, as well as the aging of railway facilities,
is requiring more and more attention to rail defects detection. As a promising tool for rail, in …

State-of-the-art of vehicle-based methods for detecting various properties of highway bridges and railway tracks

YB Yang, ZL Wang, K Shi, H Xu… - International Journal of …, 2020 - World Scientific
The vehicle scanning method (VSM), an indirect approach for bridge measurement, has
attracted intensive attention since it was proposed. By this method, a moving test vehicle is …

[HTML][HTML] A machine-learning-based approach for railway track monitoring using acceleration measured on an in-service train

A Malekjafarian, CA Sarrabezolles, MA Khan… - Sensors, 2023 - mdpi.com
In this paper, a novel railway track monitoring approach is proposed that employs
acceleration responses measured on an in-service train to detect the loss of stiffness in the …

Numerical modeling of dynamic frictional rolling contact with an explicit finite element method

Z Yang, X Deng, Z Li - Tribology international, 2019 - Elsevier
The modeling of dynamic frictional rolling contact is crucial for accurately predicting behavior
and deterioration of structures under dynamic interactions such as wheel/rail, tire/road …

[HTML][HTML] Fatigue damage assessment of complex railway turnout crossings via Peridynamics-based digital twin

M Hamarat, M Papaelias, S Kaewunruen - Scientific reports, 2022 - nature.com
Railway turnouts are essential in the train traffic route management for modern railways.
Despite significant devotion to railway turnout research, one of their most common failures …

[HTML][HTML] Identification of sleeper support conditions using mechanical model supported data-driven approach

M Sysyn, M Przybylowicz, O Nabochenko, L Kou - Sensors, 2021 - mdpi.com
The ballasted track superstructure is characterized by a relative quick deterioration of track
geometry due to ballast settlements and the accumulation of sleeper voids. The track zones …

MUHAFIZ: IoT-based track recording vehicle for the damage analysis of the railway track

AA Shah, NA Bhatti, K Dev… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fault diagnosis plays a major role in railway condition monitoring, as early diagnosis of the
emerging faults can save valuable time, reduce maintenance costs and, most significantly …

[HTML][HTML] Detection and severity evaluation of combined rail defects using deep learning

J Sresakoolchai, S Kaewunruen - Vibration, 2021 - mdpi.com
Various techniques have been developed to detect railway defects. One of the popular
techniques is machine learning. This unprecedented study applies deep learning, which is a …

[HTML][HTML] Automated machine learning recognition to diagnose flood resilience of railway switches and crossings

J Sresakoolchai, M Hamarat, S Kaewunruen - Scientific reports, 2023 - nature.com
The increase in demand for railway transportation results in a significant need for higher
train axle load and faster speed. Weak and sensitive trackforms such as railway switches …