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

机译:识别具有非平稳循环流的化学技术系统

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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.
机译:通过实验-统计方法,获得了具有非平稳循环流(NRS)的化学技术系统的动态随机模型,该模型可以评估炉料结构对次品产量百分比的影响。结果表明,考虑分布式时延可以提高模型的准确性。该模型可用于带有NRS的对象的预后,特别是用于炉料结构玻璃容器生产的次品产量百分比的预后。

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