Multimodal fusion of deep neural networks for transmission line flashover classification-Reference-Cited by-同舟云学术

Multimodal fusion of deep neural networks for transmission line flashover classification

Published:2024-03-11 Issue: Volume: Page:1-16
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Feng Bo¹,Zhang Wei²,Xia Xiaofei¹,Tang Jie¹,Liu Peng³

Affiliation:

1. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, People’s Republic of China

2. Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center, Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, People’s Republic of China

3. Guangxi Power Grid Co., Ltd., Nanning, People’s Republic of China

Funder

Research on Intelligent Diagnosis Technology for Key Components of Power Transmission Lines Based on Flexible Self-energy Sensing and Flexible Networking Technology

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2024.2328531

Reference20 articles.

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2. Arc fault and flash detection in DC photovoltaic arrays using wavelets. 2013 IEEE 39th Photovoltaic specialists conference (PVSC);Wang Z;IEEE,2013

3. A novel approach to fault classification of power transmission lines using singular value decomposition and fuzzy reasoning spiking neural P systems;Rong H;Rom J Inf Sci Technol,2017

4. An Approach for Detecting Fault Lines in a Small Current Grounding System using Fuzzy Reasoning Spiking Neural P Systems