Data-driven fault diagnosis for traction systems in high-speed trains: A survey, challenges, and perspectives

H Chen, B Jiang, SX Ding… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of
faults (FDD) in traction systems have become an active issue in the transportation area over …

Transfer learning-motivated intelligent fault diagnosis designs: A survey, insights, and perspectives

H Chen, H Luo, B Huang, B Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Over the last decade, transfer learning has attracted a great deal of attention as a new
learning paradigm, based on which fault diagnosis (FD) approaches have been intensively …

Intelligent machine vision based railway infrastructure inspection and monitoring using UAV

M Banić, A Miltenović, M Pavlović… - Facta Universitatis …, 2019 - casopisi.junis.ni.ac.rs
Traditionally, railway inspection and monitoring are considered a crucial aspect of the
system and are done by human inspectors. Rapid progress of the machine vision-based …

CUFuse: Camera and ultrasound data fusion for rail defect detection

Z Chen, Q Wang, Q He, T Yu, M Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a multi-source data fusion algorithm for rail surface defect detection in
both camera-based rail inspection images and ultrasound B-scan images. First, we design a …

A review of applications of visual inspection technology based on image processing in the railway industry

S Liu, Q Wang, Y Luo - Transportation Safety and Environment, 2019 - academic.oup.com
In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

LRseg: An efficient railway region extraction method based on lightweight encoder and self-correcting decoder

Z Feng, J Yang, Z Chen, Z Kang - Expert Systems with Applications, 2024 - Elsevier
This paper proposes a lightweight and efficient railway region extraction model LRseg,
which provides technical support for detecting foreign objects on the railway. LRseg consists …

Condition monitoring of rail transport systems: A bibliometric performance analysis and systematic literature review

M Kostrzewski, R Melnik - Sensors, 2021 - mdpi.com
Condition monitoring of rail transport systems has become a phenomenon of global interest
over the past half a century. The approaches to condition monitoring of various rail transport …

Morphological detection and extraction of rail surface defects

M Nieniewski - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
Rail inspection by means of a visual system has been a subject of a number of publications
in recent years. The main requirements with regard to such a system are that it has to be fast …

Real time identification of railway track surface faults using canny edge detector and 2D discrete wavelet transform

AA Shah, BS Chowdhry, TD Memon… - Annals of Emerging …, 2020 - aetic.theiaer.org
Usually, railway accidents are caused by train derailment, the mechanical failure of tracks,
such as broken rails often caused by lack of railway condition monitoring. Such monitoring …

Continuous monitoring of train parameters using IoT sensor and edge computing

Y Zhao, X Yu, M Chen, M Zhang, Y Chen… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The speed and the overall loading of a train are of great importance in determining whether
the entire train is running in a safe and stable manner. We present here our work in …