A Denoising Method for Cable Partial Discharge Signals Based on Image Information Entropy and Multivariate Variational Mode Decomposition
Author:
Affiliation:
1. School of Electrical Engineering, Xi’an University of Technology, Xi’an, China
2. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Funder
National Natural Science Foundation of China
Shaanxi Electric Power Company Ltd., of State Grid
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10367905/10330079.pdf?arnumber=10330079
Reference30 articles.
1. Comparative Study on Partial Discharge Characteristics of Seven Accessory Defects Under Four On-Site Testing Voltages of a 10-kV Cable Line
2. State grid corporation of China power cable operation report;Zhao
3. Effects of Mechanical Pressure on the Tangent Delta of MV Cable Joints
4. Distributed Detection and Acoustic Emission Waveform Retrieval of Cable Joint Partial Discharge
5. Time–Frequency Maps for Multiple Partial Discharge Sources Separation in Cable Terminations
Cited by 1 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. Wavelet-Based Convolutional Neural Network for Denoising Partial Discharge Signals Extracted via Acoustic Emission Sensors;IEEE Sensors Letters;2024-07
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