Railroad Catenary Insulator Fault Detection Based on Improved Faster R-CNN

L Yi, T Dong, Y Wang, H She, C Yi… - Recent Patents on …, 2024 - ingentaconnect.com
Background: The railroad catenary insulator, which is a crucial component of the catenary
system and is situated between the pillar and wrist arm, is crucial for electrical conductor …

Railway insulator detection based on adaptive cascaded convolutional neural network

Z Wang, X Liu, H Peng, L Zheng, J Gao, Y Bao - IEEE Access, 2021 - ieeexplore.ieee.org
Insulator failure is one of the important causes of railway power transmission accidents. In
the automatic detection system of railway insulators, the detection and classification of …

Railway insulator defect detection with deep convolutional neural networks

Z Gu, Y Wang, X Xue, S Wang… - … on Digital Image …, 2020 - spiedigitallibrary.org
Railway patrolling inspection train has been widely used for railway infrastructure safety
monitoring. Cameras are mounted on the train, which can capture the image of the overhead …

Mask R-CNN and multifeature clustering model for catenary insulator recognition and defect detection

P Tan, X Li, J Ding, Z Cui, J Ma, Y Sun, B Huang… - Journal of Zhejiang …, 2022 - Springer
Rod insulators are vital parts of the catenary of high speed railways (HSRs). There are many
different catenary insulators, and the background of the insulator image is complicated. It is …

Insulator defect detection based on improved faster R-CNN

J Tang, J Wang, H Wang, J Wei… - 2022 4th Asia Energy …, 2022 - ieeexplore.ieee.org
In recent years, deep learning has been widely used to identify defects of insulators. This
paper proposed an improved Faster R-CNN model based on deep learning to improve the …

An improved faster R-CNN for devices detection in railway 4C system

Y Ji, K Zhao, K Zhang, D Qi, C Li - 2019 Chinese Control …, 2019 - ieeexplore.ieee.org
As main devices in railway 4C system, accurate detection of insulators is essential to
guarantee stable operation of whole railway network. There have been kinds of methods …

Insulator detection method in inspection image based on improved faster R-CNN

Z Zhao, Z Zhen, L Zhang, Y Qi, Y Kong, K Zhang - Energies, 2019 - mdpi.com
The detection of insulators in power transmission and transformation inspection images is
the basis for insulator state detection and fault diagnosis in thereafter. Aiming at the …

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 …

Defect detection for bird-preventing and fasteners on the catenary support device using improved faster R-CNN

J Liu, Y Wu, Y Qin, H Xu, Z Zhao - … of the 4th International Conference on …, 2020 - Springer
With the rapid speed-up of electrified railway and the construction of high-speed electrified
railway, automatic defect detection on the catenary support device is of crucial importance …

Research on detection algorithm of catenary insulator based on improved faster R-CNN

H Hongtao, M Yongzhi, Y Kun… - 2020 Chinese …, 2020 - ieeexplore.ieee.org
The traditional method of regular inspection of the catenary is mainly manual inspection, in
order to improve the automation level of catenary detection and solve the problem of …