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Adaptive Dynamic Meta-Heuristics for Feature Selection and Classification in Diagnostic Accuracy of Transformer Faults

  • Published:2021 Issue: Volume:9 Page:78324-78340
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Ghoneim Sherif S. M.ORCID,Farrag Tamer AhmedORCID,Rashed A. Ali,El-Kenawy El-Sayed M.ORCID,Ibrahim AbdelhameedORCID

Funder

Taif University, Taif, Saudi Arabia, through the Taif University Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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2. Maintenance Enhancement of the Performance of Aged Voltage Transformers Using Nanoparticles;IEEE Transactions on Dielectrics and Electrical Insulation;2024-06

3. Approach to Pre-Processing of Diagnostic Data Using Fuzzy Logic;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

4. Optimizing LSTM with multi-strategy improved WOA for robust prediction of high-speed machine tests data;Chaos, Solitons & Fractals;2024-01

5. A feature selection and ensemble learning based methodology for transformer fault diagnosis;Applied Soft Computing;2024-01
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