[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances

O Surucu, SA Gadsden, J Yawney - Expert Systems with Applications, 2023‏ - Elsevier
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …

A survey of cyber-physical systems from a game-theoretic perspective

W Tushar, C Yuen, TK Saha, S Nizami, MR Alam… - IEEE …, 2023‏ - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

Machine learning for fault diagnosis of high-speed train traction systems: A review

H Wang, YF Li, J Ren - Frontiers of Engineering Management, 2024‏ - Springer
High-speed trains (HSTs) have the advantages of comfort, efficiency, and convenience and
have gradually become the mainstream means of transportation. As the operating scale of …

Optimized neural network based predictive maintenance for five-phase induction motor failure

UR Muduli, K Al Jaafari… - 2021 IEEE 12th Energy …, 2021‏ - ieeexplore.ieee.org
Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as
it has higher reliability and fault tolerant capability. This paper suggests the use of Particle …

Multi-sensor graph transfer network for health assessment of high-speed rail suspension systems

D Zhang, M **e, J Yang, T Wen - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
Suspension systems are significant for safe and comfort operation of high-speed trains.
Health assessment is a useful tool to schedule maintenance plans of suspension systems …

Analysis and prediction of uneven wear in metro pantograph-rigid catenary system

Z Yang, Z Huang, L Pan, C Huang, T **ng, R Fu… - Tribology …, 2024‏ - Elsevier
The non-elastic electrical contact between pantograph strip and wire, via a pantograph-rigid
catenary system, results in much wear of metro strip. Every month, hundreds of thousands of …

Assessment of catenary condition monitoring by means of pantograph head acceleration and Artificial Neural Networks

S Gregori, M Tur, J Gil, FJ Fuenmayor - Mechanical Systems and Signal …, 2023‏ - Elsevier
Measuring the pantograph–catenary interaction force is crucial for homologation and
maintenance purposes. However, this is an intricate procedure that requires a specially …

An optimization method for maintenance resource allocation in electrified railway catenary systems

S Lin, C Shang, N Li, X Sun, D Feng… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
The traditional preventive maintenance plans of electrified railways are mainly formulated
according to historical maintenance records and the experience of maintenance technicians …

Pantograph Catenary Performance Detection of Energy High‐Speed Train Based on Machine Vision

R Wang, W Li, L Tan, H Liu, Q Le… - Mathematical …, 2022‏ - Wiley Online Library
With the rapid development of high‐speed rail in China, addressing the issue of safety
assurance during the operation of the train is very important. A very important part of a train's …

Fault detection and quantitative assessment of wheel diameter difference based on ensemble adaptive tunable Q-factor wavelet transform and mixed kernel principal …

S Sui, K Wang, S Chen - Measurement Science and Technology, 2023‏ - iopscience.iop.org
Tread wear is inevitable for railway vehicles. Because of the complicated railway condition,
the wear rates of the two wheels of a wheelset are usually unequal, which leads to the wheel …