AC contactor fault recognition based on ERF and BO-SVC
In response to the challenges posed by imbalanced samples leading to low recognition accuracy and high feature redundancy in AC contactor, a novel composite recognition methodology which is leverages embedded random forest (ERF) and Bayesian optimization-support vector classification (BO-SVC) is int...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Power Engineering Technology
2024-11-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/230815010 |
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