Diagnosis of Commutation Failure in a High- Voltage Direct Current Transmission System Based on Fuzzy Entropy Feature Vectors and a PCNN-GRU
To enhance the diagnostic accuracy of commutation failure in weak receiving-end high-voltage direct current (HVDC) transmission systems, this study proposes a novel diagnostic model that integrates Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)-based fuzzy entropy and a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048891/ |
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