Deep Learning for High-Impedance Fault Detection: Convolutional Autoencoders
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Cited by:
- Katleho Moloi & Innocent Davidson, 2022. "High Impedance Fault Detection Protection Scheme for Power Distribution Systems," Mathematics, MDPI, vol. 10(22), pages 1-19, November.
- Huan Zhou & Jianyun Chen & Manyuan Ye & Qincui Fu & Song Li, 2023. "Transient Fault Signal Identification of AT Traction Network Based on Improved HHT and LSTM Neural Network Algorithm," Energies, MDPI, vol. 16(3), pages 1-21, January.
- Igor Simone Stievano & Riccardo Trinchero, 2023. "Advanced Techniques for the Modeling and Simulation of Energy Networks," Energies, MDPI, vol. 16(5), pages 1-3, February.
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Keywords
high-impedance fault; power system protection; unsupervised learning; deep learning; convolutional autoencoder; convolutional neural network;All these keywords.
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