Results
Title

Aplicación de técnicas de minería de datos para determinar un modelo de operación de un turbogenerador hidráulico.

Authors

Risco, Redy H.; Pérez, Daniel A.; Casaverde, Luis A.; La-Rosa, Gerson

Abstract

This study applies a reference model that implements data mining as part of a business intelligence environment to analyze the operation of a hydraulic turbogenerator. Data is obtained from the control and data acquisition system of a hydroelectric power plant. A model is first generated using a principal component analysis. Then, it is evaluated with new observations by using squared prediction error multivariate statistical control graphs and the Hotelling's T2, and finally the analysis was implemented by connecting the tables generated by a conventional business intelligence tool. The model was tested on five samples corresponding to periods prior to a turbogenerator shutdown. It is concluded that the reference model presented here can be applied to analyze the operation of a hydraulic turbogenerator, that the control charts can detect atypical operating behaviors, and that previous understanding of the analyzed process is necessary for an adequate interpretation of the results.

Subjects

PRINCIPAL components analysis; HYDROELECTRIC power plants; DATA acquisition systems; GRAPHIC methods in statistics; DATA mining; QUALITY control charts

Publication

Información Tecnológica, 2022, Vol 33, Issue 6, p31

ISSN

0716-8756

Publication type

Academic Journal

DOI

10.4067/S0718-07642022000600031