摘要
针对在役风力发电机运行维护困难的情况,基于数据采集与监测系统(SCADA)的数据,从数理统计的角度出发,以概率为基础,在设定的统计模型下运用假设检验方法进行整理与分析,计算出健康系数值,从而依据量化值对风力发电机轴承的健康状态做出合理、科学的推断。
The data from data acquisition and monitoring system （SCADA） is analyzed in view of difficult operation maintenance of wind turbines in service. From the perspective of mathematical statistics, the hypothesis testing method is used to collect and analyze under given statistical model based on probability, and the healthy coefficient is calculat- ed. Therefore, the reasonable and scientific inference for health status of wind turbine bearings is made according to quantized value.
出处
《轴承》
北大核心
2017年第11期56-59,共4页
Bearing
关键词
风力发电机
轴承
假设检验
健康系数
wind turbine
bearing
hypothesis testing
healthy coefficient
