Machine learning-based spatiotemporal fusion method for non-intrusive charging pile fault identification
Fault detection in charging piles is crucial for the widespread adoption of electric vehicles and the reliability of charging infrastructure. Currently, due to the lack of sufficient fault data for charging piles, achieving stable and accurate fault identification is challenging. Moreover, distincti...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Electronics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/felec.2024.1490939/full |
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