Purpose This study aims to use frequency response analysis, a powerful tool to detect the
location and types of transformer winding faults. Proposing an effective intelligent approach …

This paper proposes the use of the Pseudo-Random Impulse Sequence as perturbation
signal for estimating the parameters of a lumped parameter circuit model commonly used in …

A novel method was proposed which combines gray wolf optimizer (GWO) and cuckoo
search algorithm (CS) based on the Taguchi theory in this paper. Generally speaking, the …

Parameter estimation represents an important aspect of modelling electromagnetic systems,
and a wide range of parameter estimation strategies has been explored in literature. Most …

Online monitoring of electric power components in smart grids is of great importance to
enhance reliability. Fault detection at primary levels in distribution transformers, the chief …

Frequency response analysis (FRA) is considered as a reliable method for the diagnosis of
the power transformer winding. Despite this popularity, interpretation of FRA signatures has …

Purpose Although, numerous optimization algorithms have been devoted to construct an
electrical ladder network model (ELNM), they suffer from some frail points such as …

Parameter estimation represents an important aspect of modeling electromagnetic systems,
and a wide range of parameter estimation strategies has been explored in literature. Most …

Transformers are essential devices to the power system. Transformer applications include
transmission services, monitoring of line voltages and currents, and distribution services …

The frequency response analysis (FRA) of the transformer is the data obtained in a wide
frequency range that represents the transfer function (TF) that reflects the physical behavior …