Liu, H.; Yang, K.; Qian, G.; Hu, J.; Dai, W.; Zhu, L.; Guo, T.; Shi, J.; Wang, D.
Gramian Angular Field–Gramian Adversial Network–ResNet34: High-Accuracy Fault Diagnosis for Transformer Windings with Limited Samples. Energies 2025, 18, 4329.
https://doi.org/10.3390/en18164329
AMA Style
Liu H, Yang K, Qian G, Hu J, Dai W, Zhu L, Guo T, Shi J, Wang D.
Gramian Angular Field–Gramian Adversial Network–ResNet34: High-Accuracy Fault Diagnosis for Transformer Windings with Limited Samples. Energies. 2025; 18(16):4329.
https://doi.org/10.3390/en18164329
Chicago/Turabian Style
Liu, Hongwen, Kun Yang, Guochao Qian, Jin Hu, Weiju Dai, Liang Zhu, Tao Guo, Jun Shi, and Dongyang Wang.
2025. "Gramian Angular Field–Gramian Adversial Network–ResNet34: High-Accuracy Fault Diagnosis for Transformer Windings with Limited Samples" Energies 18, no. 16: 4329.
https://doi.org/10.3390/en18164329
APA Style
Liu, H., Yang, K., Qian, G., Hu, J., Dai, W., Zhu, L., Guo, T., Shi, J., & Wang, D.
(2025). Gramian Angular Field–Gramian Adversial Network–ResNet34: High-Accuracy Fault Diagnosis for Transformer Windings with Limited Samples. Energies, 18(16), 4329.
https://doi.org/10.3390/en18164329
