A transformer fault diagnosis model based on chemical reaction optimization and twin support vector machine

F Yuan, J Guo, Z Xiao, B Zeng, W Zhu, S Huang - Energies, 2019 - mdpi.com
The condition monitoring and fault diagnosis of power transformers plays a significant role in
the safe, stable and reliable operation of the whole power system. Dissolved gas analysis …

An interval forecasting model based on phase space reconstruction and weighted least squares support vector machine for time series of dissolved gas content in …

F Yuan, J Guo, Z Xiao, B Zeng, W Zhu, S Huang - Energies, 2020 - mdpi.com
Transformer state forecasting and fault forecasting are important for the stable operation of
power equipment and the normal operation of power systems. Forecasting of the dissolved …