Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
through structuring the process of identifying, prioritizing, and thereafter formulating effective …