Computational intelligence for preventive maintenance of power transformers

SY Wong, X Ye, F Guo, HH Goh - Applied Soft Computing, 2022 - Elsevier
Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …

High frequency electric circuit modeling for transformer frequency response analysis studies

X Zhao, C Yao, A Abu-Siada, R Liao - … Journal of Electrical Power & Energy …, 2019 - Elsevier
Power transformers are subject to winding and core deformations due to short circuit faults
and other environmental conditions. Majority of these faults are of progressive nature and …

High-frequency ladder network synthesis of transformer winding for its mechanical condition assessment

F Ren, Z Kang, S Ji, Q Li - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Fault localization and severity evaluation of transformer winding is crucial for its mechanical
condition assessment. Ladder network synthesis of winding entity based on its frequency …

Proposed diagnostic methodology using the cross‐correlation coefficient factor technique for power transformer fault identification

SM Saleh, SH EL‐Hoshy… - IET Electric Power …, 2017 - Wiley Online Library
This study investigates the impact of electrical parameter variation of a high‐frequency
transformer model on its sweep frequency response analysis (SFRA) signature to help in …

Artificial neural network controller based cleaner battery-less fuel cell vehicle with EF2 resonant DC-DC converter

G Renjini, V Devi - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
The evolution of an eco-friendly, sustainable and efficient energy conversion system is
becoming inevitable for automotive manufactures and consumers worldwide in the current …

Towards unique circuit synthesis of power transformer winding using gradient and population based methods

R Reddy, K Shah, M Kallamadi - IEEE Latin America …, 2023 - ieeexplore.ieee.org
The aim of the paper is to synthesize a nearly unique, physically realizable and mutually
coupled ladder circuit representation of a two-winding transformer by identifying the most …

An FPGA Kalman-MPPT implementation adapted in SST-based dual active bridge converters for DC microgrids systems

G Becerra-Nuñez, A Castillo-Atoche… - IEEE …, 2020 - ieeexplore.ieee.org
The design of digital hardware controllers for the integration of renewable energy sources in
DC microgrids is a research topic of interest. In this paper, a Kalman filter-based maximum …

Parameter estimation of a two-section transformer winding model using pseudo-random impulse sequence perturbation

DM Banks, JC Bekker… - 2021 56th International …, 2021 - ieeexplore.ieee.org
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 …

On accuracy of a mutually coupled ladder network model high-frequency parameters identification for a transformer winding using gray wolf optimizer method

A Chanane, M Belazzoug - COMPEL-The international journal for …, 2021 - emerald.com
Purpose It is not a secret that the identification of the high-frequency ladder network model
(LNM) parameters for the transformer winding is a crucial task. This paper aims to present …

Ladder network synthesis in wide frequency range for transformer winding from its driving-point admittance data

F Ren, H Zhang, Y Liu, S Ji, Q Li - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Ladder network synthesis is very significant for winding fault diagnosis within transformer. To
synthesize the network reversely based on the measurable frequency response analysis …