According to the working conditions of wind turbine generator monitoring complex, large amount of data, multisource, complex, the characteristics of rapid growth, the abnormal current prediction methods in the face of big data to ensure accuracy and rapid processing, the proposed combination of Hadoop batch processing technology and BP neural network of wind turbine online anomaly prediction model, abnormal prediction of equipment state information. The experimental results show that the method has good acc...
风能作为一种蕴藏量巨大且无污染的可再生能源,受到世界各国的关注与日俱增。但是,风电机组的故障率会随着运行时间的加长而不断升高,这就需要对机组主要部件的故障做好预防工作。目前,风电业主广泛采用数据采集与监控(supervisory control and data acquisition,SCADA)系统监?
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