| 摘要 |
Extreme gust risk of wind hitting a wind turbine is estimated by gathering data 100 from sensors for use as training data which is acquired over a period of time and converted in to a feature vector for a given period by a statistical measure. A number of feature zones are formed 120, zone relating to a different estimate of risk with each feature vector being assigned to a risk category defined with reference to the value of one or more chosen turbine parameters at the time the data was acquired. The feature zones are formed from a measure of distance such as the mean and covariance of feature vectors from within a given category. Live data 140 is processed by measuring the Mahalonobis distance 150 from the feature vector of the live data to the centre of each zone and the risk of an extreme gust is assessed as that of the feature zone to which the Mahalonobis distance is lowest. |
