Please use this identifier to cite or link to this item:
http://repositorio.ufla.br/jspui/handle/1/56067
Title: | Técnicas de inteligência computacional para estimação de sinais de oscilação de eixo em hidrogeradores |
Other Titles: | Computational intelligence techniques for estimation of shaft oscillation signs in hydrogenerators |
Authors: | Pereira, Daniel Augusto Ferreira, Danton Diego Lamin Filho, Paulo Cezar Monteiro Pereira, Daniel Augusto |
Keywords: | Hidrogeradores Vibrações Inteligência computacional Regressão linear Regressão não linear Redes neurais Hydro generator Vibrations Computational intelligence Linear regression Nonlinear regression Neural networks |
Issue Date: | 28-Feb-2023 |
Publisher: | Universidade Federal de Lavras |
Citation: | OLIVEIRA, B. M. R. de. Técnicas de inteligência computacional para estimação de sinais de oscilação de eixo em hidrogeradores. 2022. 111 p. Dissertação (Mestrado em Engenharia de Sistemas de Automação)–Universidade Federal de Lavras, Lavras, 2023. |
Abstract: | This work presents computational intelligence techniques for hydro generator axis oscillation regression and comparison with methods through statistical analysis. With the continuous increase in demand for electricity in Brazil and the search for energy producers to increase availability, the reduction of "unplanned outages" resulting from failures was proposed. The failure of mechanical components in relation to the bearing of the hydro generator groups, which can be identified by the increase in "axis oscillation" levels in relation to the bearing, is of interest. The oscillation signals can be acquired (obtained and recorded) by the instrumentation installed in the generator unit and stored by the digital system of the plant. Based on standard values, it is possible to verify if the hydro generator unit will continue to operate reliably without the risk of failure and potential accidents. In this work, actual data from a generator unit located in Brazil were applied to compare computational intelligence techniques through simulations performed in the MATLAB environment and compared with each other. |
URI: | http://repositorio.ufla.br/jspui/handle/1/56067 |
Appears in Collections: | Engenharia de Sistemas e automação (Dissertações) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
DISSERTAÇÃO_Técnicas de inteligência computacional para estimação de sinais de oscilação de eixo em hidrogeradores.pdf | 6,66 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.