PD recognition by means of statistical and fractal parameters and a neural network
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx5/94/18141/00839345.pdf?arnumber=839345
Cited by 72 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. An Intelligent Recognition Method of Partial Discharge of Power Cables Based on Data Augmentation;2023 IEEE 6th International Electrical and Energy Conference (CIEEC);2023-05-12
2. A Study of PRPD Statistics to Improve the Performance of PD Detection and Defect Type Identification;2022 9th International Conference on Condition Monitoring and Diagnosis (CMD);2022-11-13
3. Examination of insulation diagnosis in substation by neural network with phase‐resolved partial discharge pattern reconstruction;Electronics and Communications in Japan;2022-09-20
4. Time Evolution of Partial Discharges in a Dielectric Subjected to the DC Periodic Voltage;Energies;2022-03-11
5. Examination of Insulation Diagnosis in Substation by Neural Network with Phase-resolved Partial Discharge Pattern Reconstruction;IEEJ Transactions on Fundamentals and Materials;2022-03-01
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