Steady State Identification Method Containing Outliers Detection and Its Application

In this paper,a steady state identification method of containing outliers detection,i.e.,combining polynomial filtering steady state identification with the new 3δ formula,is proposed for the process data containing outliers.In the proposed method,the length of filtering window is adaptively searched by means of the history data.And then,the outliers in the process data are filtered and replaced(by using) 3δ formula.Finally,by making polynomial filtering to the present data in the window,the curve that shows the characteristic of the data is obtained.Moreover,the stability of the process is decided(according) to the characteristic of curve.Both simulation experiment and real application show that the(proposed) method performs better than traditional methods,e.g.,APF method.