Application of Rough Generalization Box Plot in Eliminating Outlier of Bridge Monitoring
Based on the monitoring project of an old operating bridge in Dongguan,in this paper,the box plot method has been generalized by increasing the coefficient k of the box plot,and the outliers of the bridge monitoring data have been identified and eliminated in combination with the Pauta criterion.This method can not only solve the problem of excessive removal of outlier from the box plot,but also reduce the number of operations to a certain extent,which can improve the calculation efficiency.It has certain engineering practical value for eliminating the outlier of the monitoring data of the old bridge with large and medium spans without installing the bridge health monitoring system,and can also be used as a supplementary method for eliminating the outlier of the massive monitoring data in the bridge health monitoring system.
万方数据
维普
