Artificial Intelligence based Faults Identification, Classification, and Localization Techniques in Transmission Lines-A Review
Author:
Affiliation:
1. School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/9907/10305230/10305233.pdf?arnumber=10305233
Cited by 8 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. An alternate method to detect and classify the transmission line faults using Clarke’s transformed currents;Electric Power Systems Research;2024-11
2. A Fault Identification Method of Hybrid HVDC System Based on Wavelet Packet Energy Spectrum and CNN;Electronics;2024-07-16
3. A modified Takagi-Sugeno-Kang neuro-fuzzy network in estimation of shortage faults location and resistance on transmission lines;Engineering Applications of Artificial Intelligence;2024-07
4. Automatic Fault Location Technology of Electronic Circuit Based on Artificial Intelligence;2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE);2024-02-27
5. Advanced Fault Detection, Classification, and Localization in Transmission Lines: A Comparative Study of ANFIS, Neural Networks, and Hybrid Methods;IEEE Access;2024
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