数据挖掘技术在风电机组发电机轴承故障预警中的应用

Application of data mining technology in early warning of wind turbine generator bearing failure

随着风电装机规模的扩大和风电场投产时间的增加,风电机组的故障呈现多样化和复杂化。为提高风电场检修及故障消除的工作效率,降低运维成本,实现故障状态检修,利用风机SCADA运行数据设计,针对风机发电机轴承的故障预警算法,对发电机轴承预警,为运维人员开展故障消除与检修提供技术支撑。

With the expansion of the scale of wind power installations and the increase in the time for wind farms to be put into operation, the faults of wind turbines are showing a trend of diversification and complexity. In order to improve the efficiency of wind farm maintenance and fault elimination, reduce operation and maintenance costs, and realize the transition of faults overhaul, this paper uses the SCADA operating data of the wind turbine to design a fault warning algorithm for the bearing of the wind turbine generator, and provides technical support for the operation and maintenance personnel to carry out fault elimination and maintenance.