Work

Research on intelligent identification method of lightning arrester deterioration state based on GASFCNN

Year: 2024

Type: conference-paper

Source: International Conference on Smart Grids and Energy Systems (SGES)

DOI: 10.1109/sges63808.2024.10824087

Authors: Yong He, Sheng Guo, Haiao Tan, Hanjie Yuan, Lin Lu, Gaofeng Liao, Congzhen Xie

Institutions: Guangdong Power Grid Company (China), South China University of Technology

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funder: China Southern Power Grid

OpenAlex ID: W4406208511

FWCI: 0.722

Cites: 1

Cited by: 1

Related to: 10