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A Deep Learning Approach for the Detection of Surge Events in Metal Oxide Surge Arresters
2025 33rd Southern African Universities Power Engineering Conference (SAUPEC)Bongani Moses Beyane +2 more
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The service condition of distribution metal oxide surge arresters
1999Darveniza, M., Saha, T. K., Wright, S.
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Evaluation of the resistive current of the metal oxide surge arrester using the differential method
2010exaly
Improved YOLO11 for Metal Oxide Surge Arrester Defect Detection
2025 International Conference on New Power System Technology (PowerCon)Shenghong Wang +3 more
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A New Criterion for Condition Assessment of Metal Oxide Surge Arresters
IEEE Sensors JournalSafaa F. Elzoghby +3 more
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