Pantograph-catenary Arc Fault Detection Based on Lightweight and Single-stage Deep Detector-Reference-Cited by-同舟云学术

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Pantograph-catenary Arc Fault Detection Based on Lightweight and Single-stage Deep Detector

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
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Author:

Chen Longting¹,Zhou Hanbin¹,Tang Jinyuan¹,Li Danni²,Kong Xiangwei³,Li Jiejie⁴

Affiliation:

1. Central South University,State Key Laboratory of Precision Manufacturing for Extreme Service Performance,Changsha,China

2. Xiangtan University,School of Mechanical Engineering and Mechanics,Xiangtan,China

3. Chinese Flight Test Establishment Test Technology Institute,Xi’an,China

4. Central South University,School of Mechanical and Electrical Engineering,Changsha,China

Funder

Natural Science Foundation of Hunan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295752.pdf?arnumber=10295752

Reference23 articles.

1. A new approach based on firefly algorithm for vision-based railway overhead inspection system

2. Inception module and deep residual shrinkage network-based arc fault detection method for pantograph–catenary systems

3. Automatic Detection and Monitoring System of Pantograph–Catenary in China’s High-Speed Railways

4. Arc detection and recognition in pantograph–catenary system based on convolutional neural network

5. Detection and monitoring system of the pantograph-catenary in high-speed railway (6C)

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