Application of back propagation neural network in complex diagnostics and forecasting loss of life of cellulose paper insulation in oil-immersed transformers

MK Ngwenyama, MN Gitau - Scientific Reports, 2024 - nature.com
Oil-immersed transformers are expensive equipment in the electrical system, and their
failure would lead to widespread blackouts and catastrophic economic losses. In this work …

Research on transformer fault diagnosis based on active learning with imbalanced data of dissolved gas in oil

P Tang, Z Zhang, J Tong, Z Ma, T Long… - Review of Scientific …, 2024 - pubs.aip.org
The power transformer is the core equipment of the power system, a sudden failure of which
will seriously endanger the safety of the power system. In recent years, artificial intelligence …

Optimal gas subset selection for dissolved gas analysis in power transformers

J Pinto, V Esteves, S Tavares, R Sousa - Progress in Artificial Intelligence, 2024 - Springer
The power transformer is one of the key components of any electrical grid, and, as such,
modern day industrialization activities require constant usage of the asset. This increases …

Transformer fault identification method based on GASF‐AlexNet‐MSA transfer learning

X Zhang, K Yang, L Jia - International Journal of Circuit Theory and … - Wiley Online Library
The transformer is an important part of the power system and ensures the stable operation of
the power grid and electricity safety key equipment. With the increase in electricity demand …

USE OF THE DGA METHOD IN IDENTIFYING PROBLEMS ON 2 POWER TRANSFORMERS 2MVA 11.5 KV-0.4 KV

H Hasnira, H Rofii'Haekal - Journal of Electronic and …, 2023 - journal.peradaban.ac.id
This study discusses the application of four Dissolved Gas Analysis (DGA) methods in
identifying failure indicators in power transformers. Transformer failures can occur in the …

[PDF][PDF] Power Transformer Fault Detection And Classification By Coupling Conventional And Machine Learning Methods

B Gjorgiev, L Das, G Sansavini - esrel2024.com
Power transformers are one of a power system's most essential and costly assets. Failure of
a transformer may lead to high repair costs or irreversible internal damage. Furthermore …