Please use this identifier to cite or link to this item: http://repositorio.ufc.br/handle/riufc/74756
Type: Artigo de Evento
Title: Classification of the Supply Voltage conditions of a Three-Phase Induction Motor with Machine Learning techniques
Authors: Silva, Marcelo Estevão da
Oliveira, Manoel E. N.
Nunes, Felipe Becker M.
Santos, Luiz Antonio G.
Nascimento, Athur M. do
Costa, Edênio Z. G.
Keywords in English : Fault Diagnostic;Machine Learning;Pattern Recognition;Three-Phase Induction Motor;Unbalanced Supply Voltages
Knowledge Areas - CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Issue Date: 2021
Publisher: Sociedade Brasileira de Automática
Citation: SILVA, Marcelo Estevão da; OLIVEIRA, Manoel E. N.; NUNES, Felipe Becker M.; SANTOS, Luiz Antonio G., NASCIMENTO, Arthur M. do; COSTA, Edênio Z. G. Classification of the Supply Voltage conditions of a Three-Phase Induction Motor with Machine Learning techniques. In: SIMPÓSIO BRASILEIRO DE AUTOMAÇÃO INTELIGENTE , 15., 2021, Rio Grande. Anais [...]. Rio Grande: Universidade Federal do Rio Grande, 2021. Disponível em: 10.20906/sbai.v1i1.2645.
Abstract: Three-Phase Induction Motors (TPIM) is a fundamental part, as they are the main responsible for carrying out the mechanical work process in the industry. It is estimated that they are responsible for consuming more than half of all energy destined for the industrial sector. Thus, any failure of operation in motors of this type is reflected in energy, economic and environmental losses. Among the most common failures is the unbalance of the supply voltages, which can cause total loss of the machine depending on the magnitude of the unbalance. This article addresses a comparative analysis between the Machine Learning K-Nearest Neighbors (KNN), Random Forest (RF), Suport Vector Machine (SVM), Principal Component Analysis (PCA) and Multilayer Perceptron Neural Network (MLP) techniques applied to the classification of unbalanced supply voltages of a three-phase induction motor. For this, a database was used with mechanical and electrical variables related to the balanced and unbalanced operation of the motor, divided into classes of different levels of unbalance according to the National Electrical Manufactores Association (NEMA).
URI: http://repositorio.ufc.br/handle/riufc/74756
DOI: 10.20906/sbai.v1i1.2645
ISSN: 2175-8905
Author's ORCID: https://orcid.org/0000-0003-2444-7360
Author's Lattes: http://lattes.cnpq.br/0595540618528754
Access Rights: Acesso Aberto
Appears in Collections:PPGEEC - SOBRAL - Trabalhos apresentados em eventos

Files in This Item:
File Description SizeFormat 
2021_eve_mesilva-pdfa.pdf315,7 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.