A transformer is one of the most important units in power networks; thus, fault diagnosis of
transformers is quite significant. In this paper, the frequency-response analysis, deemed as …

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 …

Frequency-response analysis (FRA) has been growing in popularity in recent times as a tool
to detect mechanical deformation within power transformers. To conduct the test, the …

Transient stability is important in power systems. Disturbances like faults need to be
segregated to restore transient stability. A comprehensive review of fault diagnosing …

On-line monitoring of electric power transformers can provide a clear indication of their
status and ageing behavior. This paper proposes neural modeling and the local statistical …

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

To further improve fault diagnosis accuracy, a new hybrid feature selection approach
combined with a genetic algorithm (GA) and support vector machine (SVM) is presented in …

As transformers age, their internal condition degrades, which increases the risk of failure. To
prevent these failures and to maintain transformers in good operating condition is a very …

Dissolved gas analysis is an effective method for the early detection of incipient fault in
power transformers. To improve the capability of interpreting the result of dissolved gas …

Frequency response analysis (FRA) has become a widely accepted tool to detect power
transformer winding deformation due to the development of FRA test equipment. Because …