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

The Power Transformer are the most Crucial part of power System and its failure may result
in not only interrupted power supply but also great economic loss. So, it is important to …

In the field of transformer failure diagnosis, the potential correlation between different
characteristic parameters and failures is difficult to detect using traditional methods. Further …

Machine learning is widely used as a panacea in many engineering applications including
the condition assessment of power transformers. Most statistics attribute the main cause of …

Internal and external faults in a power transformer are discriminated in this paper using an
algorithm based on a combination of a discrete wavelet transform (DWT) and a probabilistic …

With the advent of Wide Area Measurement Systems and the consequent proliferation of
digital measurement devices such as PMUs, control centers are being flooded with growing …

Power transformers are important assets for electrical network operation. The diagnosis of
transformer condition is important for the continuity of electricity distribution to consumers …

The power transformer is an important component in the power system, as it is directly
related to the reliability of the electric power system operation. Therefore, the diagnosis of …

In mechanical equipment, rolling bearing is frequently used. Its running state directly affects
the performance of the whole machine and it is also the main cause of mechanical …

This study aims to develop a multi-layer perceptron (MLP) model for a power transformer
fault identification expert system. The proposed system utilizes MLP to predict the presence …