Performance Monitoring and Fault Prediction of Wind Turbines Based on Big Data
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.
万方数据
维普
