Deep Learning Based Detection Of Catenary Support Component Defect And Fault In High Speed Railways
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Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
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.
Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021
This book reflects the latest research trends, methods and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of research that is highly relevant to current developments in a number of technological domains, the subjects it covered include intelligent computing, information processing, communication technology, automatic control, etc. The objective of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academicians and industrial professionals to present the most innovative research and development in the field of rail transportation electrical and information technologies. Engineers and researchers in academia, industry and government will also explore an insightful view of the solutions that combine ideas from multiple disciplines in this field. The volumes serve as an excellent reference work for researchers and graduate students working on rail transportation and electrical and information technologies.
Smart Traction Power Supply Systems for High-speed Railways
Given the increasingly busy railway networks, increased axle loads, and railway speeds,modern railways and urban transport systems require smart and energy-efficient tractionpower supply products and solutions to ensure safe, reliable, and environmentallysustainable operations. Based on the latest development and achievements of China'straction power supply system, Smart Traction Power Supply Systems for High-speedRailways focuses on the latest research into smart traction power supply systems. Startingfrom the concept of smart technologies, it describes the structure and functions of smarttraction power supply systems, including smart power supply and transformation facilities,smart power supply operation and maintenance management systems, smart power supplydispatching systems, and high-speed communication networks. This book covers boththeory and the implementation, methods, and case studies of wide area protection, selfhealingreconstruction, fault prognosis, health assessment, and power supply dispatching. - Discusses what is meant by the term smart traction power supply systems and technology trends - Reviews the new concept of the traction substation - Describes how to develop smart traction power supply systems