Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy …

Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …

Differential protection scheme is the main protection scheme of power transformers, which
still holds the risk of sending false trips subject to inrush currents. This article aims to …

This paper proposes a novel differential protection scheme based on deep neural networks
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …

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

Differential protection is the most common type of protection in power transformers.
However, inrush current due to transformer energization may appear as fault current to the …

The application of signal processing techniques is a fundamental step for fault diagnostic
methodologies. The application of empirical mode decomposition (EMD)-based methods …

This study presents random forest‐based fault discrimination technique for power
transformer. The proposed scheme relies on extracting features from the measured data of …

Faults diagnosis in power transformers has been traditionally based on the insulation
resistance measurement, polarisation index, analysis of dissolved gasses in oil …

Power transformers are critical components of every power system. They are expensive
apparatuses accounting for a significant portion of the capital investment in the electric …