A Novel Transmission Line Defect Detection Method Based on Adaptive Federated Learning-Reference-Cited by-同舟云学术

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A Novel Transmission Line Defect Detection Method Based on Adaptive Federated Learning

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Deng Fangming¹^ORCID,Zeng Ziqi¹^ORCID,Mao Wei¹^ORCID,Wei Baoquan¹^ORCID,Li Zewen¹^ORCID

Affiliation:

1. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, China

Funder

Natural Science Foundation of China

Outstanding Youth Fund Project of Jiangxi Natural Science Foundation

Key Research and Development Plan of Jiangxi Province

Science and Technology Project of Education Department of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10042443.pdf?arnumber=10042443

Reference31 articles.

1. YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection

2. Multi-target defect intelligent recognition of transmission line based on improved Faster-RCNN

3. Security Analysis of Mobile Edge Computing in Virtualized Small Cell Networks

4. Edge Computing: Vision and Challenges

5. Multiple Diseases and Pests Detection Based on Federated Learning and Improved Faster R-CNN

Cited by 11 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. Research on Defect Diagnosis of Transmission Lines Based on Multi-Strategy Image Processing and Improved Deep Network;Processes;2024-08-28

2. TLFed: Federated Learning-based 1D-CNN-LSTM Transmission Line Fault Location and Classification in Smart Grids;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19

3. FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2024

4. Cable Early Fault Classification Identification Method for Unbalanced Sample Data Based on Federated Learning;2024

5. Distributed Photovoltaic Short-Term Power Prediction Based on Meteorological Resource Clustering and Federated Learning;2024

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