Edge–Cloud Collaboration Detection Approach for Small-Sample Imbalanced Faults in Power Lines
Author:
Affiliation:
1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09775087.pdf?arnumber=9775087
Reference34 articles.
1. Deep-Learning-Based Fault Classification Using Hilbert–Huang Transform and Convolutional Neural Network in Power Distribution Systems
2. Wavelet Fuzzy Combined Approach for Fault Classification of a Series-Compensated Transmission Line
3. A new approach to phase selection using fault generated high frequency noise and neural networks
4. Multi-Objective Evolutionary Federated Learning
5. A Robust Self-Attentive Capsule Network for Fault Diagnosis of Series-Compensated Transmission Line
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