Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network

J Chen, Z Liu, H Wang, A Núñez… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The excitation and vibration triggered by the long-term operation of railway vehicles
inevitably result in defective states of catenary support devices. With the massive …

Deep architecture for high-speed railway insulator surface defect detection: Denoising autoencoder with multitask learning

G Kang, S Gao, L Yu, D Zhang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The insulator is an important catenary component that maintains the insulation between the
catenary and earth. Due to the long-term impact of railway vehicles and the environment …

Contact wire irregularity stochastics and effect on high-speed railway pantograph–catenary interactions

Y Song, Z Liu, A Rønnquist, P Nåvik… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In high-speed rail operations, contact wire irregularity (CWI) in a catenary is a common
disturbance to the pantograph-catenary interaction performance, which directly affects the …

Automatic detection and monitoring system of pantograph–catenary in China's high-speed railways

S Gao - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
With the rapid growth of China's high-speed railway mileage, relevant safety technologies of
railway operation are very urgent at present. One of the crucial parts is the pantograph …

Detection approach based on an improved faster RCNN for brace sleeve screws in high-speed railways

Z Liu, Y Lyu, L Wang, Z Han - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Brace sleeve screws are an important component of catenary support devices in high-speed
railways. According to the statistical data, there is a much risk for failure of brace sleeve …

Automatic detection of surface defects based on deep random chains

T Zhang, Z Wang, F Li, H Zhong, X Hu, W Zhang… - Expert Systems with …, 2023 - Elsevier
Defect detection is critical in production systems. The traditional methods are primarily
manual, prohibiting its large-scale industrial application. The current deep learning methods …

Adversarial reconstruction based on tighter oriented localization for catenary insulator defect detection in high-speed railways

J Zhong, Z Liu, C Yang, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The catenary insulator maintains electrical insulation between catenary and ground. Its
defects may happen due to the long-term impact from vehicle and environment. At present …

UAV-LiDAR-based measuring framework for height and stagger of high-speed railway contact wire

Y Geng, F Pan, L Jia, Z Wang, Y Qin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The height and stagger of the contact wire directly affect the energy supply of high-speed
trains. To ensure the operation safety, there is an urgent demand for high-speed railways to …

A survey on automatic inspections of overhead contact lines by computer vision

L Yu, S Gao, D Zhang, G Kang, D Zhan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Automatic inspections of overhead contact lines (OCLs) are developed to implement
anomaly detection during normal operation. It is an essential prerequisite for efficient …

An outdoor support insulator surface defects segmentation approach via image adversarial reconstruction in high-speed railway traction substation

X Lu, W Quan, S Gao, H Zhao, G Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As a result of high-voltage electricity and outdoor environment in high-speed railway traction
substation, insulator surface defects are inevitable. However, most of the current …