Identification of chemical-technological systems with non-stationary recyclical streams

摘要

The dynamic stochastic models of the chemical-technological system with non-stationary recyclical streams (NRS), permitting to evaluate the influence of furnace charge structure on output percent of defective production are obtained by experimental - statistical methods. It is shown, that the account of distributed delays allows to increase the accuracy of the model. The model can be used for the prognosis of objects with NRS and, in particular for prognosis of output percent of defective production from furnace charge structure glass containers production.