Deep learning-based detection of catenary support component defect and fault in high-speed railways / Zhigang Liu, Wenqiang Liu, Junping Zhong.
Liu, Zhigang, author.; Liu, Wenqiang, author.; Zhong, Junping, author.
2023
TF1460 .L58 2023
Available Online

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Title Deep learning-based detection of catenary support component defect and fault in high-speed railways / Zhigang Liu, Wenqiang Liu, Junping Zhong.
Author Liu, Zhigang, author.
ISBN 9789819909537 electronic book
9819909538 electronic book
9789819909520
981990952X
DOI https://doi.org/10.1007/978-981-99-0953-7
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (xiii, 239 pages) : illustrations (some color).
Item Number 10.1007/978-981-99-0953-7 doi
Call Number TF1460 .L58 2023
Dewey Decimal Classification 625.1
Summary This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 19, 2023).
Added Author Liu, Wenqiang, author.
Zhong, Junping, author.
Series Advances in high-speed rail technology, 2363-5029
Available in Other Form Print version: 9789819909520
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Overview of Catenary Detection of Electrified Railways
Advance of Deep Learning
Catenary Support Components and their Characteristics in High-speed Railways
Preprocessing of Catenary Support Components' Images
Positioning of Catenary Support Components
Detection of Catenary Support Component Defect and Fault
Detection of The parameters of Catenary Support Devices based on 3D Point Clouds.

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