Cost-Sensitive Extremely Randomized Trees Algorithm for Online Fault Detection of Wind Turbine Generators
The number of normal samples of wind turbine generators is much larger than the number of fault samples. To solve the problem of imbalanced classification in wind turbine generator fault detection, a cost-sensitive extremely randomized trees (CS-ERT) algorithm is proposed in this paper, in which the...
Main Authors: | Mingzhu Tang, Yutao Chen, Huawei Wu, Qi Zhao, Wen Long, Victor S. Sheng, Jiabiao Yi |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-05-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.686616/full |
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