Fine-grained fault diagnosis of photovoltaic systems based on DMAD-GAN and IFD-FGIF

In the field of photovoltaic (PV) system monitoring, fault detection faces two critical challenges: data imbalance and fault diversity, as well as incomplete complex fault information. To tackle these issues, this paper proposes a dual-mechanism anomaly detection with generative adversarial network...

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Veröffentlicht in:	Measurement science & technology 2025-01, Vol.36 (1), p.16237
Hauptverfasser:	Qiao, Juanjuan, Qi, Yongsheng, Liu, Liqiang, Li, Yongting, Luo, Zhihong
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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