Fault location in distribution system using convolutional neural network based on domain transformation
Author:
Publisher
Power System Technology Press
Subject
Electrical and Electronic Engineering,General Energy,Electronic, Optical and Magnetic Materials
Cited by 23 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 Review on the Application of Artificial Intelligence in Anomaly Analysis Detection and Fault Location in Grid Indicator Calculation Data;Energies;2024-07-29
2. Fault Detection and Location of Transmission Lines Based on Convolutional Neural Network;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
3. Intelligent Monitoring and Early Warning System for Electric Power Safety using Artificial Intelligence Approach;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17
4. Enhancing Situational Awareness in Power Distribution System Using Fault Current Indicator;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26
5. Systematic Review on Fault Diagnosis on Rolling-Element Bearing;Journal of Vibration Engineering & Technologies;2024-04-10
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