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Aging Detection of 110 kV XLPE Cable for a CFETR Power Supply System Based on Deep Neural Network.
- Source :
- Energies (19961073); May2022, Vol. 15 Issue 9, pN.PAG-N.PAG, 12p
- Publication Year :
- 2022
-
Abstract
- To detect the aging of power cables in the TOKAMAK power supply systems, this paper proposed a deep neural network diagnosis model and algorithm for power cable aging, based on logistic regression according to the characteristics of different high-order harmonics generated by different aging parts of the power cable. The experimental results showed that the model has high diagnostic accuracy, and the average error is only 2.35%. The method proposed in this paper has certain application potential in the CFETR power cable auxiliary monitoring system. [ABSTRACT FROM AUTHOR]
- Subjects :
- POWER resources
ARTIFICIAL neural networks
CABLES
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 15
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Energies (19961073)
- Publication Type :
- Academic Journal
- Accession number :
- 156848417
- Full Text :
- https://doi.org/10.3390/en15093127