Abstract

MARQUES-RODRIGUEZ, Manuel  and  OLIVA-RUIZ, Luis Oscar. Estimation of determinant variables in the pressure drop associated with the filter system of a gas turbine. RTQ [online]. 2018, vol.38, n.2, pp. 397-411. ISSN 2224-6185.

A methodology was developed to approximate, through artificial neural networks to estimate the pressure drop in the system of air filters, from operative data and increase the availability of the electric generation unit. It starts with 28 predictor variables and target variable, based on a sensitivity analysis of the number of predictors is reduced and the design of the structure of the multilayer perceptron concrete. It determines how many and which predictor variables are necessary for a fit with a coefficient of determination more than 0.99 found that one is the minimum amount required, the final structure is 1-12-1 with a coefficient of determination of 0.99740. The model developed to simulate the variable and provides a powerful tool for increasing the operational availability of generation units in regard to air filtration.

Keywords : simulation; thermoelectric; gas turbine; neural net.

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