Power transformer is one of the most expensive and pivotal electrical equipment among all
connected network apparatuses. Various electrical, mechanical, thermal, and chemical …

Power transformers are essential for the distribution and transmission of electricity, but they
are prone to degradation due to faults early on. Partial Discharge (PD) is the most significant …

This work examines the application of machine learning (ML) algorithms to evaluate
dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed …

In order to improve the accuracy of transformer fault diagnosis and improve the influence of
unbalanced samples on the low accuracy of model identification caused by insufficient …

Considered as the heart of electrical power transmission and distribution networks, power
transformers are essential part of the electricity transmission grid. Among the condition …

In power transformers, accurate diagnosis prediction plays a crucial role in ensuring the
reliability and efficiency of electrical systems. This paper presents an enhanced diagnostic …

Reliable operation of oil-immersed power transformers is crucial for electrical transmission
and distribution networks. However, the aging of high voltage assets including power …

Dissolved gas analysis (DGA) has been a critical technique for transformer diagnosis. DGA
is a typical multiclass imbalance problem where most of the samples correspond to healthy …

Partial discharge (PD) is a common issue in power transformers that can lead to catastrophic
failures if left undetected. Time reversal (TR) is a well-known technique in signal processing …

Dissolved Gas Analysis (DGA) is a technique, which is more frequently employed in power
transformers to assess the incipient faults that are developed in oil-immersed transformers …