Performance Comparison of Fuzzy Logic and Deep Learning algorithms for fault detection in electrical power transmission system
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IEEE
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http://xplorestaging.ieee.org/ielx7/9621301/9621363/09621580.pdf?arnumber=9621580
Cited by 4 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. Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue;Energies;2024-01-20
2. A DenseNet‐based feature weighting convolutional network recognition model and its application in industrial part classification;IET Image Processing;2023-11-04
3. Fault detection and localization based on Decision Tree and Support vector machine algorithms in electrical power transmission network;2022 2nd International Conference on Advanced Electrical Engineering (ICAEE);2022-10-29
4. Power System Faults Detection Based on Deep Learning and Support Vector Machine Supervised Machine Learning Techniques;2022 8th International Conference on Control, Decision and Information Technologies (CoDIT);2022-05-17
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