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 …
systems, and failures or hidden defects in power transformers can cause operational and …
High frequency electric circuit modeling for transformer frequency response analysis studies
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
(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 …
synthesize the network reversely based on the measurable frequency response analysis …