A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil
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Du, G.; Sheng, Z.; Liu, J.; Gao, Y.; Xin, C.; Ma, W. A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil. Processes 2024, 12, 193. https://doi.org/10.3390/pr12010193
Du G, Sheng Z, Liu J, Gao Y, Xin C, Ma W. A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil. Processes. 2024; 12(1):193. https://doi.org/10.3390/pr12010193
Chicago/Turabian StyleDu, Gang, Zhenming Sheng, Jiaguo Liu, Yiping Gao, Chunqing Xin, and Wentao Ma. 2024. "A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil" Processes 12, no. 1: 193. https://doi.org/10.3390/pr12010193
APA StyleDu, G., Sheng, Z., Liu, J., Gao, Y., Xin, C., & Ma, W. (2024). A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil. Processes, 12(1), 193. https://doi.org/10.3390/pr12010193