Neural Network Models of Process Equipment in a Monitoring and Predictive Analytics System.

Autor: Shabunin, A. S., Chernetskii, M. Yu., Osipovskii, R. V.
Zdroj: Power Technology & Engineering; May2024, Vol. 58 Issue 1, p147-154, 8p
Abstrakt: A neural network surrogate model of a gas turbine engine (GTE) has been developed, which approximates a more complex physico-mathematical model. The results generated by the model are demonstrated. A method for assessing the technical condition of an object is proposed, which is based on back-propagation in the artificial neural network. The main use cases are described and conclusions are made about the potential advantages of neural network surrogate models. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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