[HTML][HTML] Multi-modal information analysis for fault diagnosis with time-series data from power transformer
Z Xing, Y He - International Journal of Electrical Power & Energy …, 2023 - Elsevier
Fault diagnosis is important to the timely repair of the power transformer. However, machine
learning has not been exploited effectively for fault diagnosis due to the limitation of multi …
learning has not been exploited effectively for fault diagnosis due to the limitation of multi …
Determination of power transformers health index using parameters affecting the transformer's life
Power transformers are one of the most important parts of a power system, and they are
crucial to the system's reliability and energy quality. The “health index” idea is used in this …
crucial to the system's reliability and energy quality. The “health index” idea is used in this …
[HTML][HTML] Thermal analysis of 8.5 MVA disk-type power transformer cooled by biodegradable ester oil working in ONAN mode by using advanced EMAG–CFD–CFD …
M Stebel, K Kubiczek, GR Rodriguez, M Palacz… - International Journal of …, 2022 - Elsevier
Power transformers are the first devices used to transfer the electrical energy produced in
power plants to the grid to supply the industrial and individual receivers with electricity. The …
power plants to the grid to supply the industrial and individual receivers with electricity. The …
[HTML][HTML] A new method for transformer hot-spot temperature prediction based on dynamic mode decomposition
F Yang, T Wu, H Jiang, J Jiang, H Hao… - Case Studies in Thermal …, 2022 - Elsevier
The Accurate prediction of a hot spot temperature (HST) is critical for ensuring the reliable
operation of transformers. The existing HST prediction methods are based on the black-box …
operation of transformers. The existing HST prediction methods are based on the black-box …
[HTML][HTML] Transformer modelling considering power losses using an inverse Jiles-Atherton approach
Power transformers are devices with non-linear behavior due to the saturation of the
ferromagnetic core. When modelling such devices, the saturation effect must be taken into …
ferromagnetic core. When modelling such devices, the saturation effect must be taken into …
A Comprehensive Review of Recent Developments in Thermal Condition Monitoring of Dry-type Transformers
At present, oil-filled transformers are experiencing installation problems under tough
environmental conditions, oil spilling during operation, pollution from the oil spillage …
environmental conditions, oil spilling during operation, pollution from the oil spillage …
Inversion detection method of oil‐immersed transformer abnormal heating state
Y Deng, J Ruan, X Dong, D Huang… - IET Electric Power …, 2023 - Wiley Online Library
Transformer overheating faults have an important impact on the transformer safe and stable
operation. Taking 10 kV oil‐immersed transformer as the research object, using the indirect …
operation. Taking 10 kV oil‐immersed transformer as the research object, using the indirect …
A digital twin model of the axial temperature field of a DC cable for millisecond calculations
X Chen, H Wang, H Zhang, Z Zhang, S Li, K Liu… - Electric Power Systems …, 2024 - Elsevier
The most important features of digital twin technology for transmission and transformation
equipment are symbiotic evolution and state prediction. In constructing the digital twin model …
equipment are symbiotic evolution and state prediction. In constructing the digital twin model …
[HTML][HTML] Effective monitoring of Pelton turbine based hydropower plants using data-driven approach
Hydropower is a renewable and reliable energy source that can be utilized to fulfil energy
demands and promote energy sustainability. In hydropower plants, Pelton turbines are …
demands and promote energy sustainability. In hydropower plants, Pelton turbines are …
[HTML][HTML] Grey-box modeling for hot-spot temperature prediction of oil-immersed transformers in power distribution networks
EMV Blomgren, F D'Ettorre, O Samuelsson… - … Energy, Grids and …, 2023 - Elsevier
Power transformers are one of the most costly assets in power grids. Due to increasing
electricity demand and levels of distributed generation, they are more and more often loaded …
electricity demand and levels of distributed generation, they are more and more often loaded …