Fault diagnosis of power grid based on variational mode decomposition and convolutional neural network-Reference-Cited by-同舟云学术

Fault diagnosis of power grid based on variational mode decomposition and convolutional neural network

Published:2022-07 Issue: Volume:208 Page:107871
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhang Qian,Ma Wenhao^ORCID,Li Guoli,Ding Jinjin,Xie Min

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference25 articles.

1. Fault location in power distribution network with presence of distributed generation resources using impedance based method and applying πline model;Dashti;Energy,2018

2. Fault diagnosis of power system considering communication system information transmission error;Zhang;IEEE Power Energy Soc. Gen. Meet., Beijing,2018

3. Study on Bayesian network parameters learning of power system component fault diagnosis based on particle swarm optimization;Shi;Int. J. Smart Grid Clean Energy.,2013

4. Fault section identification in smart distribution systems using multi-source data based on fuzzy Petri nets;Iman;IEEE Transactions on Smart Grid,2020

5. A fuzzy Petri net based approach for fault diagnosis in power systems considering temporal constraints;Zhang;Int J Electr Power Energy Syst,2016

Cited by 38 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. Traveling wave fault location for AC transmission lines: an approach based on the application of EMD and Teager energy operator;Electrical Engineering;2024-08-13

2. Fault diagnosis of the distribution network based on the D-S evidence theory Bayesian network;Frontiers in Energy Research;2024-08-07

3. Research on intelligent power grid operation and maintenance and fault prediction system based on artificial intelligence;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

4. A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism;Structural Health Monitoring;2024-04-29

5. Distributed self-healing control of single-phase grounding fault in neutral point non-effective grounding system;International Journal of Emerging Electric Power Systems;2024-04-01