[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 …
Deep learning in smart grid technology: A review of recent advancements and future prospects
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …
a promising landscape for high grid reliability and efficient energy management. This …
Density-based affinity propagation tensor clustering for intelligent fault diagnosis of train bogie bearing
Health monitor of bogie-bearing on the train can ensure constant operation of the rail transit
system. Since the metro or other rail transit have high safety requirements, it is hard to …
system. Since the metro or other rail transit have high safety requirements, it is hard to …
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 …
Fault diagnosis of high-speed train bogie based on the improved-CEEMDAN and 1-D CNN algorithms
D Huang, S Li, N Qin, Y Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Realizing the accurate fault diagnosis of high-speed train (HST) bogie is of great
significance for ensuring the safe operation of HSTs. This article proposes a novel fault …
significance for ensuring the safe operation of HSTs. This article proposes a novel fault …
Research on virtual coupled train control method based on GPC & VAPF
Y CAO, Y YANG, L MA, J WEN - Chinese Journal of Electronics, 2022 - Wiley Online Library
Improving transportation efficiency is an eternal research hotspot in rail transit system. In
recent years, the train operation control method based on virtual coupling has attracted the …
recent years, the train operation control method based on virtual coupling has attracted the …
Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review
J Yu, Y Zhang - Neural Computing and Applications, 2023 - Springer
Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …
and process reliability in modern industrial systems. Those traditional FDD techniques are …
Parameter-varying artificial potential field control of virtual coupling system with nonlinear dynamics
Y Cao, J Wen, A Hobiny, P Li, T Wen - Fractals, 2022 - World Scientific
In rail transit systems, improving transportation efficiency has become a research hotspot. In
recent years, a new method of train control system based on virtual coupling has attracted …
recent years, a new method of train control system based on virtual coupling has attracted …
Intelligent fault diagnosis of rotary machines: Conditional auxiliary classifier GAN coupled with meta learning using limited data
The industrial advancement has promoted the development of deep learning (DL)-based
intelligent fault diagnosis methods for condition-based maintenance (CBM). Though these …
intelligent fault diagnosis methods for condition-based maintenance (CBM). Though these …
Detection of the pipeline elbow erosion by percussion and deep learning
Elbows are commonly used in pipelines to change the direction of flow, and the pipeline
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …