Abstract Details
283 / 2024-09-14 19:53:47
Research on Fault Diagnosis of High Voltage Circuit Breakers Based on Improved FCN
high voltage circuit breakers; fault Diagnosis; self-attention; full convolutional networks
Final Paper
With the development of intelligent power system in recent years, the diagnosis of high voltage circuit breakers (HVCBs) has become one of the research hotspots. In order to find a better diagnosis method, an experimental platform was established to simulate different typical faults. Several parameters extracted from opening coil current and vibration signal under different situations were compared to select the most representative characteristic parameters. Combining self-attention mechanism and full convolutional networks (FCN), the Improved FCN model was set up. The data were imported to the Improved diagnostic models, it was found that the accuracy of new method can be 95.7%, which higher than other control diagnostic models. The research results provide a reference for fault diagnosis of HVCBs.
Important Date
-
Conference Date
Nov 10
2024
toNov 13
2024
-
Nov 11 2024
Draft paper submission deadline
-
Nov 19 2024
Registration deadline
Sponsored By
Xi’an Jiaotong Universit
Contact Information
Previous Conferences
-
2022-11-24 Bangladesh Dhaka
2022 International Conference on Energy and Power Engineering -
2019-03-14 Bangladesh
2019 International Conference on Energy and Power Engineering
