Fault diagnosis method for arrester in infrared images based on improved U-Net

Author:

Li PengORCID,Zhang JiatongORCID,Tao Qian,Yuan Ye,Zhou Yeren,Liu Bo,Wu Tian,Pu ZihengORCID

Funder

State Grid Hubei Electric Power Co

Publisher

Elsevier BV

Reference37 articles.

1. A survey of diagnostic and condition monitoring of metal oxide surge arrester in the power distribution network;Ranjbar;Energies,2022

2. Experimental study on response of non- and externally-gapped metal-oxide arresters excited by nanosecond-level transient electromagnetic disturbances;Wu;IEEE Trans. Power Delivery,2023

3. Zno varistors with low leakage current and high stability arrester with ga doping;Liu;Acta Phys. Sin.,2023

4. Assessing the impact of long-term operation, pollution and housing damage on the medium voltage surge arresters using non-destructive diagnostic techniques;Dolnik;Electr. Pow. Syst. Res.,2023

5. Ai-based moa fault diagnosis mechanism in wireless networks;He;Wirel. Netw,2022

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