Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning
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- Yanxin Wang & Jing Yan & Zhou Yang & Tingliang Liu & Yiming Zhao & Junyi Li, 2019. "Partial Discharge Pattern Recognition of Gas-Insulated Switchgear via a Light-Scale Convolutional Neural Network," Energies, MDPI, vol. 12(24), pages 1-19, December.
- Minh-Tuan Nguyen & Viet-Hung Nguyen & Suk-Jun Yun & Yong-Hwa Kim, 2018. "Recurrent Neural Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear," Energies, MDPI, vol. 11(5), pages 1-13, May.
- Sanuri Ishak & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Chai Phing Chen & Talal Yusaf, 2021. "Fault Classification System for Switchgear CBM from an Ultrasound Analysis Technique Using Extreme Learning Machine," Energies, MDPI, vol. 14(19), pages 1-21, October.
- Xiu Zhou & Xutao Wu & Pei Ding & Xiuguang Li & Ninghui He & Guozhi Zhang & Xiaoxing Zhang, 2019. "Research on Transformer Partial Discharge UHF Pattern Recognition Based on Cnn-lstm," Energies, MDPI, vol. 13(1), pages 1-13, December.
- Jiejie Dai & Yingbing Teng & Zhaoqi Zhang & Zhongmin Yu & Gehao Sheng & Xiuchen Jiang, 2019. "Partial Discharge Data Matching Method for GIS Case-Based Reasoning," Energies, MDPI, vol. 12(19), pages 1-15, September.
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- Paweł Węgierek & Damian Kostyła & Michał Lech, 2023. "Directions of Development of Diagnostic Methods of Vacuum Medium-Voltage Switchgear," Energies, MDPI, vol. 16(5), pages 1-25, February.
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Keywords
arcing; condition-based monitoring; deep learning; fault detection; medium voltage; partial discharge; switchgear;All these keywords.
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