A novel method for small and unbalanced sample pattern recognition of gas insulated switchgear partial discharge using an auxiliary classifier generative adversarial network

Convolutional neural networks (CNNs) have been widely used for gas‐insulated switchgear (GIS) partial discharge (PD) pattern recognition due to their powerful feature extraction ability. However, there is commonly a scarcity of fault samples due to low insulation failure rate of GIS equipment, which...

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Veröffentlicht in:	High voltage 2023-04, Vol.8 (2), p.368-379
Hauptverfasser:	Jing, Qianzhen, Yan, Jing, Wang, Yanxin, Ye, Xinyu, Wang, Jianhua, Geng, Yingsan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Classification Datasets Deep learning Discharge Energy distribution Fault diagnosis Feature recognition Frequency distribution Generative adversarial networks Machine learning Pattern recognition Performance degradation Switchgear Wavelet transforms
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