SE-Inception-ResNet Model With Focal Loss for Transmission Line Fault Classification Under Class Imbalance-Reference-Cited by-同舟云学术

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SE-Inception-ResNet Model With Focal Loss for Transmission Line Fault Classification Under Class Imbalance

Published:2024 Issue: Volume:73 Page:1-17
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xi Yanhui¹^ORCID,Li Meiting¹^ORCID,Zhou Feng²^ORCID,Tang Xin¹^ORCID,Li Zewen¹^ORCID,Tian Juanxiu³^ORCID

Affiliation:

1. State Key Laboratory of Disaster Prevention and Reduction for Power Grid, Changsha University of Science and Technology, Changsha, China

2. School of Electronic Information and Electrical Engineering, Changsha University, Changsha, China

3. College of Computer and Communication, Hunan Institute of Engineering, Xiangtan, China

Funder

National Science Foundation of China

Natural Science Foundation of Hunan Province of China

Project of Education Bureau of Hunan Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10356131.pdf?arnumber=10356131

Reference40 articles.

1. A Multipath Model for Disturbance Propagation in Electrical Power Networks

2. A Machine Learning Approach to Fault Prediction of Power Distribution Grids under Heatwaves

3. Voltage–current technique to identify fault location within long transmission lines

4. Uncertainty awareness in transmission line fault analysis: A deep learning based approach

5. Fault location and detection techniques in power distribution systems with distributed generation: A review

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1. Transmission Line Fault Classification Using Conformer Convolution-Augmented Transformer Model;Applied Sciences;2024-05-09

2. Attention-Based Convolutional Neural Architecture Search for Eeg-Based Emotion Recognition;2024

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