A review of power system protection and asset management with machine learning techniques

F Aminifar, M Abedini, T Amraee, P Jafarian… - Energy Systems, 2022 - Springer
Power system protection and asset management have drawn the attention of researchers for
several decades; but they still suffer from unresolved and challenging technical issues. The …

Survey of different sensors employed for the power transformer monitoring

M Hamed Samimi… - … Science, Measurement & …, 2020 - Wiley Online Library
The importance of the continuous service of power transformers and their role in the
reliability of the power delivery has resulted in the need for various monitoring systems …

Diagnosis and prognosis of incipient faults and insulation status for asset management of power transformer using fuzzy logic controller & fuzzy clustering means

R Soni, B Mehta - Electric Power Systems Research, 2023 - Elsevier
Power transformer is one of the most expensive and pivotal electrical equipment among all
connected network apparatuses. Various electrical, mechanical, thermal, and chemical …

Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

Ekojono, RA Prasojo, ME Apriyani, AN Rahmanto - Electrical Engineering, 2022 - Springer
Dissolved gas analysis (DGA) is a powerful tool to monitor the condition of a power
transformer. Several interpretation methods have been proposed, one of the most reliable of …

Power transformer fault detection: A comparison of standard machine learning and autoML approaches

G Santamaria-Bonfil, G Arroyo-Figueroa… - Energies, 2023 - mdpi.com
A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …

Review of transformer health index from the perspective of survivability and condition assessment

S Li, X Li, Y Cui, H Li - Electronics, 2023 - mdpi.com
As a critical indicator for assessing the survivability and condition of transformers in a fleet,
the transformer health index has attracted attention from both asset owners and international …

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 …

Alternate and effective dissolved gas interpretation to understand the transformer incipient faults

T Manoj, C Ranga, SSM Ghoneim… - … on Dielectrics and …, 2023 - ieeexplore.ieee.org
Various techniques of fault diagnosis in oil immersed power transformers have been utilized
for the last two decades and are well reported in the literature. The traditional and widely …

Fuzzy logic based calculation and analysis of health index for power transformer installed in grid stations

M Idrees, MT Riaz, A Waleed… - … on recent advances …, 2019 - ieeexplore.ieee.org
The health index calculation is a very useful tool for power transformer maintenance
prediction. Generally, transformer health condition is directly assessed by diagnostic tests …

Comparative study of full and reduced feature scenarios for health index computation of power transformers

SSM Ghoneim, IBM Taha - IEEE Access, 2020 - ieeexplore.ieee.org
Power transformer health index (PTHI) computation is performed based on the results of
different tests, such as dissolved gas analysis (DGA), oil quality (OQ) evaluation, and …