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 …

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 …

Dissolved gas analysis (DGA) is the standard technique to diagnose the fault types of oil-
immersed power transformers. Various traditional DGA methods have been employed to …

Transformer is one of the important components of the power system, capable of transmitting
and distributing the electricity generated by renewable energy sources. Dissolved Gas …

Dissolved gas analysis (DGA) of insulating oil can provide an important basis for transformer
fault diagnosis. To improve diagnosis accuracy, this paper presents a new transformer fault …

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 …

Power transformers represent one of the most abundant and expensive components in the
electric power industry. Dissolved gas analysis (DGA) of transformer is the most widely …

This paper presents a two-stage genetic mechanism for the migration-based load balance of
virtual machine hosts (VMHs) in cloud computing. Previous methods usually assume this …

This work proposes to use deep neural networks (DNN) model for prediction of road
accidents. DNN consists of two or more hidden layers with large number of nodes. Accident …

The carried out investigations deal with the application of machine learning algorithms to
Duval Pentagon 1 graphical method for the diagnosis of transformer oil. In fact, combined to …