پیش بینی خواص محصول نفت با سنسورهای هوشمند نرم

The paper analyzes the capabilities of identification algorithms based on the intelligent data analysis to predict the approach of process parameters to critical limits, as well as their possible transition to chaotic dynamics. The results obtained are illustrated with an example from the oil refining industry.