[HTML][HTML] A literature review of Artificial Intelligence applications in railway systems
Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …
large number of domains, including railways. In this paper, we present a systematic literature …
[HTML][HTML] A taxonomy of railway track maintenance planning and scheduling: A review and research trends
Railway track maintenance and renewal are vital for railway safety, train punctuality, and
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …
travel comfort. Therefore, having cost-effective maintenance is critical in managing railway …
Artificial intelligence in railway transport: Taxonomy, regulations, and applications
Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …
transport is no exception. However, due to the plethora of different new terms and meanings …
[HTML][HTML] LSTM-based failure prediction for railway rolling stock equipment
In the railway domain, rolling stock maintenance affects service operation time and
efficiency. Minimizing train unavailability is essential for reducing capital loss and …
efficiency. Minimizing train unavailability is essential for reducing capital loss and …
Detection for rail surface defects via partitioned edge feature
X Ni, H Liu, Z Ma, C Wang, J Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Visual inspection techniques for rail surface defects have become prevalent approaches to
obtain information on rail surface damage. However, uneven illumination leads to illegibility …
obtain information on rail surface damage. However, uneven illumination leads to illegibility …
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 …
[HTML][HTML] Adaptive time series representation for out-of-round railway wheels fault diagnosis in wayside monitoring
Through the integration of advanced sensor technologies and machine learning algorithms,
artificial intelligence has revolutionized wayside monitoring in the railway sector. Although …
artificial intelligence has revolutionized wayside monitoring in the railway sector. Although …
[HTML][HTML] An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
Track geometry is one of the critical indicators of railway tracks' condition which requires
continuous monitoring and maintenance over time. In this paper, a novel artificial …
continuous monitoring and maintenance over time. In this paper, a novel artificial …
A systematic review of artificial intelligence public datasets for railway applications
The aim of this paper is to review existing publicly available and open artificial intelligence
(AI) oriented datasets in different domains and subdomains of the railway sector. The …
(AI) oriented datasets in different domains and subdomains of the railway sector. The …
A deep learning approach towards railway safety risk assessment
Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …
daily life. Various types of AI technology have been utilised in many fields to ensure the …