Utilization of artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/94/6678837/06678863.pdf?arnumber=6678863
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Partial Discharge Characteristics of Millimeter Metal Particle on a GIS Insulator Surface Under Long-Term Constant Voltage;Lecture Notes in Electrical Engineering;2024
2. Comprehensive Evaluation Method for Latent Defects of Basin Insulator in GIS;2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE);2022-09-25
3. Discharge Characteristics and Detectability of Metal Particles on the Spacer Surface in Gas-Insulated Switchgears;IEEE Transactions on Power Delivery;2022-02
4. Partial Discharge and Movement Characteristics of Micron-sized Metal Particles on Insulator Surface in Gas-Insulated Switchgear with Long-time AC Stress;IEEE Transactions on Dielectrics and Electrical Insulation;2021-12
5. ShuffleNet‐based comprehensive diagnosis for insulation and mechanical faults of power equipment;High Voltage;2020-10-27
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