Existing methods for transformer fault diagnosis either train a classifier to fit the relationship
between dissolved gas and fault type or find some similar cases with unknown samples by …

In this paper, a novel approach for accurate sensing of incipient faults occurring in power
transformers is proposed using dissolved gas analysis (DGA) technique. The Duval …

Power transformers are considered important and expensive items in electrical power
networks. In this regard, the early discovery of potential faults in transformers considering …

Gas turbines are widely used in natural gas-fired power generation and long-distance
natural gas pipelines. The complexity and diversity of boundary conditions usually have a …

This study investigates the use of machine-learning approaches to interpret Dissolved Gas
Analysis (DGA) data to find incipient faults early in oil-impregnated transformers …

Since power transformers are the most important pieces of equipment in electricity
transmission and distribution systems, special attention must be paid to their maintenance in …

Classification of faults in transformers with high accuracy is fundamental to ensuring good
power quality with least interruptions. Our current work develops an intelligent genetic …

The traditional DGA (Dissolved Gas Analysis) diagnosis method does not consider the
dependence between fault characteristic gases and uses the relationship between gas ratio …

In an electric power system, a power transformer is one of the most critical equipment and
cannot be separated from possible abnormal conditions due to fault. Dissolved Gas Analysis …

A healthy condition of the power transformer is critical for the reliable operation of the power
system. For this reason, the condition assessment of the oil-paper insulation used in power …