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Proceedings Paper

Detection and identification of insulator defects using hierarchical networks in the high-speed railway overhead contact system
Author(s): Mingyang Yue; Bo Yang; Sheng Zhong
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Paper Abstract

The high-speed railway overhead contact system is a transmission line that is erected along the high-speed railway and supplies power to the electric locomotive. Once the overhead contact system is powered off, it will directly affect the safe operation of the locomotive, with serious consequences. Insulators are the key components for regular inspection of high-speed railway overhead contact system. The common faults of insulators are damage, dirt and discharge. There are many types of components in a single image, but their shapes vary from different components. These components should be divided into normal or multiple different fault types. Usually the difference between different fault types of the same component is small. Therefore, a hierarchical coarse-to-fine strategy is proposed to address this issue. Specifically, for a trade-off between efficiency and accuracy, an efficient network is leveraged to detect the insulator in the image, and an accurate network is then utilized to identify the fault.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114300Y (14 February 2020); doi: 10.1117/12.2538262
Show Author Affiliations
Mingyang Yue, Science and Technology on Multispectral Information Processing Lab. (China)
Huazhong Univ. of Science and Technology (China)
Bo Yang, Science and Technology on Multispectral Information Processing Lab. (China)
Huazhong Univ. of Science and Technology (China)
Sheng Zhong, Science and Technology on Multispectral Information Processing Lab. (China)
Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11430:
MIPPR 2019: Pattern Recognition and Computer Vision
Nong Sang; Jayaram K. Udupa; Yuehuan Wang; Zhenbing Liu, Editor(s)

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