基于大数据分析的风电机组健康诊断研究

Research on Health Diagnosis of Wind Turbine Based on Big Data Analysis

将数据挖掘技术应用于风力发电机组状态监测系统中,借助关联规则算法,提出了适用于风电机组健康的评价模型。结果表明,该方法的结果更加准确,可以有效地提高诊断系统的效率,在状态的趋势分析中也有较好的效果,能够发现早期故障,可为风电场合理安排运行维护计划提供参考。

Data mining technology is applied to the condition monitoring system of wind turbine.With the help of association rule algorithm,an evaluation model suitable for wind turbine health is proposed.The results show that the result of this method is more accurate,can effectively improve the efficiency of the diagnosis system,and has a good effect in the trend analysis of the state.It can find early faults,and can provide a reference for the reasonable arrangement of operation and maintenance plan of the wind farm.