Accurate Surface Condition Classification of High Voltage Insulators based on Deep Convolutional Neural Networks

Author:

Serikbay Arailym1,Bagheri Mehdi1,Zollanvari Amin1,Phung B. T.2

Affiliation:

1. School of Engineering and Digital Sciences, Nazarbayev University,Department of Electrical and Computer Engineering,Kazakhstan

2. School of Electrical Engineering and Telecommunications, University of New South Wales,Sydney,Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

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3. Predictive Analysis of Transformer Faults Through Vibration Signatures and One-Dimensional Convolutional Neural Networks;2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE);2024-05-20

4. Optimized hybrid YOLOu‐Quasi‐ProtoPNet for insulators classification;IET Generation, Transmission & Distribution;2023-06-19

5. High-Voltage Insulator Surface Pollution Classification Using Insulator Type-Specific CNNs;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

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