Recent applications of big data analytics in railway transportation systems: A survey
Big data analytics (BDA) has increasingly attracted a strong attention of analysts,
researchers and practitioners in railway transportation and engineering. This urges the …
researchers and practitioners in railway transportation and engineering. This urges the …
A review of rail track degradation prediction models
The increase in traffic congestion in urban areas as a result of more private transport
intensifies the importance of promoting public transport and rail transport in particular. The …
intensifies the importance of promoting public transport and rail transport in particular. The …
Improving rail network velocity: A machine learning approach to predictive maintenance
Rail network velocity is defined as system-wide average speed of line-haul movement
between terminals. To accommodate increased service demand and load on rail networks …
between terminals. To accommodate increased service demand and load on rail networks …
Learning from accidents: Machine learning for safety at railway stations
In railway systems, station safety is a critical aspect of the overall structure, and yet,
accidents at stations still occur. It is time to learn from these errors and improve conventional …
accidents at stations still occur. It is time to learn from these errors and improve conventional …
Prediction of railcar remaining useful life by multiple data source fusion
Z Li, Q He - IEEE Transactions on Intelligent Transportation …, 2015 - ieeexplore.ieee.org
Nowadays, railway networks are instrumented with various wayside detectors. Such
detectors, automatically identifying potential railcar component failures, are able to reduce …
detectors, automatically identifying potential railcar component failures, are able to reduce …
Train wheel diagnostics by laser ultrasonics
The integrity of the wheel is very important for the safety of railway. In this paper a laser-
ultrasonic diagnostic measurement procedure has been designed for the inspection of the …
ultrasonic diagnostic measurement procedure has been designed for the inspection of the …
A review of key planning and scheduling in the rail industry in Europe and UK
Planning and scheduling activities within the rail industry have benefited from developments
in computer-based simulation and modelling techniques over the last 25 years. Increasingly …
in computer-based simulation and modelling techniques over the last 25 years. Increasingly …
Condition-based monitoring of the rail wheel using logical analysis of data and ant colony optimization
H Osman, S Yacout - Journal of Quality in Maintenance Engineering, 2023 - emerald.com
Purpose In this paper, a data mining approach is proposed for monitoring the conditions
leading to a rail wheel high impact load. The proposed approach incorporates logical …
leading to a rail wheel high impact load. The proposed approach incorporates logical …
Joint prediction of remaining useful life and failure type of train wheelsets: Multitask learning approach
Train wheel failures account for disruptions of train operations and even a large portion of
train derailments. Remaining useful life (RUL) of a wheelset measures how soon the next …
train derailments. Remaining useful life (RUL) of a wheelset measures how soon the next …
Supervised machine learning from digital twin data for railway switch fault diagnosis
C Jung, AKA Toguyeni… - 2023 European Control …, 2023 - ieeexplore.ieee.org
This study concerns the development of fault diagnosis methods for railway switches based
on supervised machine learning. The lack of data led us to build a digital twin that allows us …
on supervised machine learning. The lack of data led us to build a digital twin that allows us …