کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
699381 | 890762 | 2013 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Soft-sensor development with adaptive variable selection using nonnegative garrote Soft-sensor development with adaptive variable selection using nonnegative garrote](/preview/png/699381.png)
In this study, a soft-sensor modeling algorithm with adaptive partial least squares nonnegative garrote is developed by incorporating nonstationary disturbance. The approach is capable of monitoring the stationary and nonstationary behaviors of the process dynamics. The procedure of adaptive variable selection ensures that a compact and robust input–output relation is obtained online. Hence, in addition to simply tracking prediction, the model can be used for the detection of structural model change and the emergence of disturbance. The advantages of the proposed method are demonstrated with a simulation example and two industrial applications to predict the temperature of a blast furnace hearth wall and to estimate impurity composition of a distillation column.
Journal: Control Engineering Practice - Volume 21, Issue 9, September 2013, Pages 1157–1164