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In this paper, an outlier screening method based on centrifugal rate is proposed to screen outliers in data, which is to use the size of centrifugal rate to determine whether the data is significantly larger or smaller than other normal values of centrifugal rate. Taking the mean of data as the center, the distance between any point and the mean as the long half axis of the ellipse, and the distance between the normal dimension as the center, the model is established. The eccentricity based ondoi:10.1088/1757-899x/569/3/032016 fatcat:4qfo7tsus5aqfne72yqrmhgd5i