State-of-the-art review on asset management methodologies for oil-immersed power transformers

L Jin, D Kim, A Abu-Siada - Electric Power Systems Research, 2023 - Elsevier
Owing to their vital function and high cost, oil-immersed power transformers represent key
links in electricity grids. While extensive effort has been invested by industry in developing …

A review of health assessment techniques for distribution transformers in smart distribution grids

QT Tran, K Davies, L Roose, P Wiriyakitikun… - Applied Sciences, 2020 - mdpi.com
Due to the large number of distribution transformers in the distribution grid, the status of
distribution transformers plays an important role in ensuring the safe and reliable operation …

Artificial intelligence-based power transformer health index for handling data uncertainty

D Rediansyah, RA Prasojo, A Abu-Siada - IEEE Access, 2021 - ieeexplore.ieee.org
Power transformer is a critical and expensive asset in electric transmission and distribution
networks. It is essential to monitor the health condition of all power transformer fleet in such …

Capbug-a framework for automatic bug categorization and prioritization using nlp and machine learning algorithms

HA Ahmed, NZ Bawany, JA Shamsi - IEEE Access, 2021 - ieeexplore.ieee.org
Bug reports facilitate software development teams in improving the quality of software.
These reports include significant information related to problems encountered within a …

[PDF][PDF] Novel power transformer fault diagnosis using optimized machine learning methods

IBM Taha, DA Mansour - Intelligent Automation & Soft …, 2021 - cdn.techscience.cn
Power transformer is one of the more important components of electrical power systems. The
early detection of transformer faults increases the power system reliability. Dissolved gas …

Power transformer health condition evaluation: A deep generative model aided intelligent framework

N Islam, R Khan, SK Das, SK Sarker, MM Islam… - Electric Power Systems …, 2023 - Elsevier
This paper presents a deep generative model-aided intelligent framework for effective health
condition evaluation of power grid transformers. The health assessment of a power …

Fuzzy algorithms for diagnosis of furnace transformer insulation condition

AS Karandaev, IM Yachikov, AA Radionov, IV Liubimov… - Energies, 2022 - mdpi.com
Implementation of the smart transformer concept is critical for the deployment of IIoT-based
smart grids. Top manufacturers of power electrics develop and adopt online monitoring …

A review of the applications of machine learning in the condition monitoring of transformers

A Esmaeili Nezhad, MH Samimi - Energy Systems, 2024 - Springer
Power transformers are critical components of every power system. They are expensive
apparatuses accounting for a significant portion of the capital investment in the electric …

Discernment of transformer oil stray gassing anomalies using machine learning classification techniques

MK Ngwenyama, MN Gitau - Scientific Reports, 2024 - nature.com
This work examines the application of machine learning (ML) algorithms to evaluate
dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed …

Transformer oil quality assessment using random forest with feature engineering

MEA Senoussaoui, M Brahami, I Fofana - Energies, 2021 - mdpi.com
Machine learning is widely used as a panacea in many engineering applications including
the condition assessment of power transformers. Most statistics attribute the main cause of …