Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering

J **e, J Huang, C Zeng, SH Jiang, N Podlich - Geosciences, 2020 - mdpi.com
Conventional planning of maintenance and renewal work for railway track is based on
heuristics and simple scheduling. The railway industry is now collecting a large amount of …

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 …

Contactless fault diagnosis for railway point machines based on multi-scale fractional wavelet packet energy entropy and synchronous optimization strategy

Y Sun, Y Cao, P Li - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Railway point machines (RPMs) is one of the most vital devices closely related to the
efficiency and safety of train operation. Considering the advantages of contactlessness and …

The fault diagnosis of a switch machine based on deep random forest fusion

Y Cao, Y Ji, Y Sun, S Su - IEEE Intelligent Transportation …, 2022 - ieeexplore.ieee.org
As the key equipment for train operation, the switch machine plays a vital role in the safe and
punctual operation of the trains. Nowadays, the fault diagnosis methods of switch machine …

MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners

H Qi, T Xu, G Wang, Y Cheng, C Chen - Computers in Industry, 2020 - Elsevier
Real-time detection of fasteners is of great significance for improving the inspection
efficiency of railway tracks. However, the task is also challenging due to the limited memory …

Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model

J Wang, S Gao, L Yu, D Zhang, C **e, K Chen… - Reliability Engineering & …, 2023 - Elsevier
Lightning-related failures are of great concerns for the reliable performance of overhead
contact lines (OCLs) of high-speed railway. Predicting lightning-related failure probability is …

Adversarial training lattice lstm for named entity recognition of rail fault texts

S Su, J Qu, Y Cao, R Li, G Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Learning and identifying key concepts from past fault records are essential for us to
understand the causes of these faults, which lay the foundation for the fault diagnosis and …

Predicting wind-caused floater intrusion risk for overhead contact lines based on Bayesian neural network with spatiotemporal correlation analysis

J Wang, S Gao, L Yu, D Zhang, C Ding, K Chen… - Reliability Engineering & …, 2022 - Elsevier
Wind-caused floater intrusion has posed enormous threats to the safety and resilience of
overhead contact lines (OCLs) of electrified railway. In this paper, a Bayesian neural network …

bCharge: Data-driven real-time charging scheduling for large-scale electric bus fleets

G Wang, X **e, F Zhang, Y Liu… - 2018 IEEE Real-Time …, 2018 - ieeexplore.ieee.org
We are witnessing a rapid growth of electrified vehicles because of the ever-increasing
concerns over urban air quality and energy security. Compared with other electric vehicles …

Risk assessment methodologies in maintenance decision making: A review of dependability modelling approaches

P Chemweno, L Pintelon, PN Muchiri… - Reliability Engineering & …, 2018 - Elsevier
The risk assessment process performs an important role in maintenance decision making,
through structuring the process of identifying, prioritizing, and thereafter formulating effective …