Faulted-Phase classification for transmission lines using gradient similarity visualization and cross-domain adaption-based convolutional neural network-Reference-Cited by-同舟云学术

Faulted-Phase classification for transmission lines using gradient similarity visualization and cross-domain adaption-based convolutional neural network

Published:2021-02 Issue: Volume:191 Page:106876
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Han Ji,Miao Shihong,Li Yaowang,Yang Weichen,Yin Haoran

Funder

Science and Technology Foundation of State Grid Corporation of China

Science and Technology Project of State Grid

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference33 articles.

1. Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction;Chen;IEEE Trans. Ind. Electron.,2018

2. Probabilistic transmission line fault diagnosis using autonomous neural models;Ferreira;Electric Power Syst. Res.,2020

3. A multi-view and multi-scale transfer learning based wind farm equivalent method;Han;Int. J. Electric. Power Energy Syst.,2020

4. Fault diagnosis for energy internet using correlation processing-based convolutional neural networks;Yang;IEEE Trans. Syst. Man Cybern.,2019

5. Fault classification and location of power transmission lines using artificial neural network;Hagh;Proc. IEEE Int. Power Eng. Conf.,2007

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. A novel fault diagnosis method for key transmission sections based on Nadam-optimized GRU neural network;Electric Power Systems Research;2024-08

2. Improved Temporal Fuzzy Reasoning Spiking Neural P Systems for Power System Fault Diagnosis;Applied Sciences;2024-02-21

3. Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning;IEEE Access;2024

4. Transmission line fault classification based on spatiotemporal characteristic analysis with global and local discriminant analysis;Engineering Science and Technology, an International Journal;2023-09

5. Efficient hybrid strategy based on FFT and fuzzy logic techniques applied to fault diagnosis in power transmission line;Soft Computing;2023-08-19