Review on evolution of intelligent algorithms for transformer condition assessment
Transformers are playing an increasingly significant part in energy conversion, transmission,
and distribution, which link various resources, including conventional, renewable, and …
and distribution, which link various resources, including conventional, renewable, and …
Assessing the embodied CO2 emissions of ICT industry and its mitigation pathways under sustainable development: A global case
Considering the rapid development of the global digital industry and the need for
sustainable development and climate change, this paper explores the global ICT-embodied …
sustainable development and climate change, this paper explores the global ICT-embodied …
In‐Service Power Transformer Life Time Prospects: Review and Prospects
ET Mharakurwa - Journal of Electrical and Computer …, 2022 - Wiley Online Library
Power transformers are essential assets in power system networks that must be meticulously
monitored throughout their operational life cycle. Given that a substantial percentage of in …
monitored throughout their operational life cycle. Given that a substantial percentage of in …
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 …
networks. It is essential to monitor the health condition of all power transformer fleet in such …
A feature selection and ensemble learning based methodology for transformer fault diagnosis
Dissolved gas analysis (DGA) data are generally used to diagnose a transformer fault.
However, the measurement errors in DGA data are inevitable and will affect the accuracy …
However, the measurement errors in DGA data are inevitable and will affect the accuracy …
Health evaluation of power transformer using deep learning neural network
The health evaluation is an effective method to detect the health condition of power tran.
3sformer. However, the redundancy, complexity, and small sample of dataset influence the …
3sformer. However, the redundancy, complexity, and small sample of dataset influence the …
Dealing with data uncertainty for transformer insulation system health index
RA Prasojo, A Abu-Siada - Ieee Access, 2021 - ieeexplore.ieee.org
Health index has been widely accepted as a powerful tool for monitoring the condition of
power transformer insulation system based on various diagnostic parameters. While this …
power transformer insulation system based on various diagnostic parameters. While this …
Insulation aging condition assessment of transformer in the visual domain based on SE-CNN
The aging of transformer oil–paper insulation (OPI) contributes significantly to transformer
failure and reduced service life. Therefore, reliable and precise evaluation of the aging …
failure and reduced service life. Therefore, reliable and precise evaluation of the aging …
[HTML][HTML] A restoration-clustering-decomposition learning framework for aging-related failure rate estimation of distribution transformers
Distribution transformers (DTs) are critical components used in power distribution networks,
and they are vulnerable to aging failures due to irreversible insulation degradation …
and they are vulnerable to aging failures due to irreversible insulation degradation …
Smart energy management system: oil immersed power transformer failure prediction and classification techniques based on DGA data
O Laayati, H El Hadraoui, M Bouzi… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
The power transformer is the key element in the electrical grid. The failures of the power
transformer impact critically the grid, can cause energy loss and blackouts. In energy …
transformer impact critically the grid, can cause energy loss and blackouts. In energy …