风电场机载风速仪状态评估研究

帅 钟(湖南科技大学机电工程学院，中国)
庆灿 龙(湖南科技大学机电工程学院，中国)
鹏举 苟(湖南科技大学机电工程学院，中国)
宪 王(湖南科技大学机电工程学院，中国)

摘要

风速仪是风电机组最为关键的传感器之一，它的状态对于风电机组的安全高效运行有着至关重要的作用。本文提出了一种风电场机载风速仪状态评估方法，采用深度学习方法构建一种充分提取目标风速仪测量数据与位置相近的其他风速仪测量数据之间信息关联的风速仪测量数据预测模型，通过分析目标风速仪实际测量值与深度学习模型预测值的残差实现风速仪状态评估。以现场数据为基础的仿真研究表明，本文方法能准确反映风速仪实际状态，可用于风速仪故障预警。

关键词

风速仪，状态评估，深度学习

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DOI: http://dx.doi.org/10.12345/dlynyqy.v3i4.26475