The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …

Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …

After the massive integration of distributed energy resources, energy storage systems and
the charging stations of electric vehicles, it has become very difficult to implement an efficient …

To increase the classification accuracy of a protection scheme for power transformer, an
effective convolution neural network (CNN) extreme gradient boosting (XGBoost) …

The converter transformer is a special power transformer that connects the converter bridge
to the AC system in the HVDC transmission system. Due to the special structure of the …

Data‐driven and artificial intelligence based transformer protection has attracted increasing
attention but not been widely applied in the power system owing to the poor generalisation …

为对变压器进行准确的故障诊断, 将油中溶解气体分析(dissolved gasses analysis, DGA)
与人工智能技术相结合, 提出了一种基于鲸鱼优化算法(whale optimization algorithm, WOA) …

Second harmonic restraint as a traditional inrush identification method is widely used in
power transformer protection. However, it may fail in the case of inrush current with a high …

Power transformers are a vital component in microgrids, as they play a crucial role in energy
transformation, transmission, and distribution. With the ongoing digital transition in the …

Now a day most power system protective schemes are incorporated with a current
transformer (CT) to reduce the current level of the power system, especially during heavy …