Pattern Recognition of Growth Characteristics Based on UHF PD Signals of Electrical Tree

Author:

Li Lili1ORCID,Wang Yulong1,Gao Junguo1,Guo Ning1ORCID,Han Gang2

Affiliation:

1. Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, Harbin University of Science and Technology, Harbin, China

2. College of Rongcheng, Harbin University of Science and Technology, Rongcheng, China

Funder

National Natural Science Foundation of China

Youth Innovation Talent Project of Universities of Guangdong Province

Innovation and Entrepreneurship Training Project for College Students

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference38 articles.

1. Research on vibration fault diagnosis of steam turbine based on time domain analysis and wavelet analysis;zhang,2016

2. Faults recognition system of pumping unit gearbox based on BP neural network;cheng,2019

3. Classification of Partial Discharge Sources in XLPE Cables by Artificial Neural Networks and Support Vector Machine

4. Research on key technologies of wireless monitoring and evaluation of pump group based on Internet of Things;sun,2020

5. Measurement and pattern recognition of partial discharge in liquid insulation based on acoustic emission technology;li,2014

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1. Signal distortion characteristics of capacitive casing PD electromagnetic waves;2023 IEEE 6th International Electrical and Energy Conference (CIEEC);2023-05-12

2. Partial Discharge Propagation Characteristics in Cable Branch Box of 10 kV Power Distribution Network;2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2022-11-30

3. Locating Method for Electrical Tree Degradation in XLPE Cable Insulation Based on Broadband Impedance Spectrum;Polymers;2022-09-09

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