Abstract
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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References
Gao S (2020) Automatic detection and monitoring system of pantograph–catenary in China’s high-speed railways. IEEE Trans Instrum Meas 70:1–12
Gao S, Liu Z, Yu L (2017) Detection and monitoring system of the pantograph-catenary in high-speed railway (6C). In: 2017 7th International conference on power electronics systems and applications-smart mobility, power transfer & security (PESA), pp 1–7
Liu Z (2017) Detection and estimation research of high-speed railway catenary
Han Z, Liu Z, Zhang G, Yang H (2013) Overview of non-contact image detection technology for pantograph-catenary monitoring. J China Railway Soc 35(6):40–47
Han Y, Liu Z, Lyu Y, Liu K, Li C, Zhang W (2020) Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection. Neurocomputing 396:556–568
Liu W, Liu Z, Núñez A, Wang L, Liu K, Lyu Y, Wang H (2018) Multi-objective performance evaluation of the detection of catenary support components using DCNNs. IFAC-PapersOnLine 51(9):98–105
Chen J, Liu Z, Wang H, Núñez A, Han Z (2017) Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network. IEEE Trans Instrum Meas 67(2):257–269
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Liu, Z., Liu, W., Zhong, J. (2023). Catenary Support Components and Their Characteristics in High-Speed Railways. In: Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways. Advances in High-speed Rail Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-0953-7_3
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DOI: https://doi.org/10.1007/978-981-99-0953-7_3
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