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Titlebook: Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways; Zhigang Liu,Wenqiang Liu,Junping Zhon

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樓主: MAXIM
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發(fā)表于 2025-3-23 12:10:46 | 只看該作者
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發(fā)表于 2025-3-23 15:47:32 | 只看該作者
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發(fā)表于 2025-3-23 22:05:48 | 只看該作者
Catenary Support Components and Their Characteristics in High-Speed Railways,The catenary system is an important part of high-speed railways and is responsible for providing stable power transmission for high-speed trains. The catenary system is mainly composed of two parts: the support device and the suspension device. These devices contain many components of different functional types.
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發(fā)表于 2025-3-24 02:06:43 | 只看該作者
Advance of Deep Learning,ing, and singular value detection. Although these methods can be formulated mathematically using expert knowledge, which is interpretable, they only perform well for some specific conditions and cannot fit well with variable scenarios.
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發(fā)表于 2025-3-24 03:34:49 | 只看該作者
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發(fā)表于 2025-3-24 06:32:57 | 只看該作者
Detection of the Parameters of Catenary Support Devices Based on 3D Point Clouds,n the high-speed train passes quickly, the whole device is continuously shocked. Many components of the cantilever system are easily loosened, resulting in structural deformation of the entire cantilever system.
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發(fā)表于 2025-3-24 11:21:14 | 只看該作者
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https://doi.org/10.1007/978-981-99-0953-7High-speed Railway; Pantograph-Catenary System; Automatic Detection; Image Processing; Deep Learning; Con
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發(fā)表于 2025-3-25 01:04:15 | 只看該作者
978-981-99-0955-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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