基于大数据和机器学习模型的风力发电机组健康管理研究

摘要

Analyzed the intelligent fault diagnosis and prediction technology of wind turbine unit and studied the direction and level for assessment of wind turbine health.On the basis of large data,the health management plateform of wind turbine was put forward based on distributed data processing technology and machine learning algorithm.%对风力发电机组智能故障诊断和预测技术进行了分析,研究了风电机组健康度评估方向和级别,并以大数据为基础,提出了基于分布式数据处理技术和机器学习算法的风电机组健康管理平台.