书目名称 | Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways |
编辑 | Zhigang Liu,Wenqiang Liu,Junping Zhong |
视频video | |
概述 | Focuses on the Deep Learning technologies and applications in catenary detection of high-speed railways.Presents the up-to-date research results of the catenary detection.Adopts and improves the advan |
丛书名称 | Advances in High-speed Rail Technology |
图书封面 |  |
描述 | .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 |
出版日期 | Book 2023 |
关键词 | High-speed Railway; Pantograph-Catenary System; Automatic Detection; Image Processing; Deep Learning; Con |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-99-0953-7 |
isbn_softcover | 978-981-99-0955-1 |
isbn_ebook | 978-981-99-0953-7Series ISSN 2363-5010 Series E-ISSN 2363-5029 |
issn_series | 2363-5010 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |