Abstract

TORRE-SILVA, Francisco De la et al. Application the principal component analysis to the mechanical behavior of turbines 100 MW. Ingeniería Mecánica [online]. 2023, vol.26, n.3, pp. 34-44.  Epub Feb 10, 2024. ISSN 1815-5944.

This work aimed at the design of a statistical model based in the technique of principal component analysis (PCA) like method for the reduction of dimensionality and like road to identify the parameter that they have bigger influence in electric generation's variability of the mechanical dynamic functional behavior of 100 MW's steam turbines of potency. Measurable symptoms present the parameters themselves that the mechanical expeditious functional behavior of the turbine and a group model for mechanical subset for the analysis integrated of parameters characterize symptoms of the turbine, in the which one will be applied the model ACP. Methods were used as the mathematical and statistical modelation as from a statistical model based in the technique of principal component analysis. Obtained him as a result the dimensional reduction of the original problem as from the obtaining of the component main and the determination of the parameter symptoms with bigger influence in the variability of the process.

Keywords : principal component analysis; reduction of dimensionality; steam turbines. condition of the turbine; parameter symptom.

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