Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways

The book "Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways" offers a comprehensive analysis of the application of deep learning technologies for detecting defects and faults in catenary support components in high-speed railways. It highlights the critical role of the overhead line as the sole energy source for high-speed trains and its impact on safe operations. The authors systematically present the latest research findings and innovative approaches to overhead line monitoring that go beyond traditional image processing methods. By integrating advanced deep learning techniques, such as Convolutional Neural Networks and Generative Adversarial Networks, a new standard in defect detection is established. The book is aimed at researchers, scientists, and engineers involved in the technology of pantographs and overhead lines in electrified railways.