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Updated: Jan 18, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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使用参数转移学习进行优化传感器数据预处理,用于风力轮机功率曲线建模

Pedro Martín-Calzada1, Pedro Martín Sánchez1, Francisco Javier Rodríguez-Sánchez1

  • 1Department of Electronics, University of Alcalá, 28805 Alcalá de Henares, Community of Madrid, Spain.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了一种转移学习方法,通过优化异常检测和回归来改进风力轮机功率曲线建模. 这种方法显著减少了优化时间,并提高了模型准确性,特别是对于新轮机.

关键词:
检测异常检测异常检测优化的优化优化优化.参数转移学习是指参数转移学习.功率曲线建模的功率曲线建模传感器数据预处理传感器数据质量数据质量

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