摘要
本文研究了大数据在风电行业中的应用现状,及基于大数据的风电机组性能监控与故障预测。实行技术架构、数据采集、特征提取、模型训练和实时监测等关键步骤,提高了风电机组的可靠性和可用率,降低了运营成本。未来,大数据技术将为风电行业带来更多创新与发展。
This article investigates the current application status of big data in the wind power industry,particularly in the context of wind turbine performance monitoring and fault prediction.By implementing key steps such as technical architecture design,data collection,feature extraction,model training,and real-time monitoring,the reliability and availability of wind turbines have been improved,leading to reduced operational costs.In the future,big data technology is expected to bring more innovations and advancements to the wind power industry.
作者
王玉兴
Wang Yuxing(Gansu Longyuan New Energy Co.,Ltd.,Jiuquan,Gansu,China,735200)
出处
《仪器仪表用户》
2024年第3期101-103,共3页
Instrumentation
关键词
大数据
风电机组
性能监控
big data
wind turbines
performance monitoring
