This paper presents a state-of-the-art review on machine learning (ML) based intelligent
diagnostics that have been applied for partial discharge (PD) detection, localization, and …

A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …

The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

Detection of transformer faults avoids the transformer's undesirable loss from service and
ensures utility service continuity. Diagnosis of transformer faults is determined using …

The high voltage power transformer is the critical element of the power system, which
requires continuous monitoring to prevent sudden catastrophic failures and to ensure an …

This review paper summarizes the discoveries made about dissolved gas analysis (DGA)
conventional methods around the decade. DGA is a well-known diagnostic tool to classify …

Using multi-source sensing data based on the Internet of Things (IoT) with artificial
intelligence and big data processing technology to achieve predictive maintenance of …

The early detection of the transformer faults with high accuracy rates guarantees the
continuous operation of the power system networks. Dissolved gas analysis (DGA) is a …

Abstract Dissolved Gas Analysis (DGA) is a standout diagnostic strategy to recognise
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …

This paper intends to give an impression of new technologies and processes that are in
development for application to achieve decarbonization, and about which less or no …