Aplicação da técnica Motor Current Signature Analysis (MCSA) em motores de uma mesa de resfriamento de rolos

Detalhes bibliográficos
Ano de defesa: 2024
Autor(a) principal: Chagas, Rafael Mariano
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Mestrado em Engenharia Elétrica
Centro Tecnológico
UFES
Programa de Pós-Graduação em Engenharia Elétrica
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufes.br/handle/10/18234
Resumo: Electric current signature analysis (ESA) has been widely used as a solution for projects to improve operational reliability in industries, since there are many studies that prove its effectiveness. The variability of ESA conditions is a set of techniques capable of detecting failures by reading electrical signals collected remotely. According to Bonaldi et al (2007), among the techniques that make up ESA, the MCSA (Motor Current Signature Analysis) technique is the most widely used technique in the industrial sector and stands out for its comprehensiveness and simplicity, since it only requires the analysis of the machine's current spectrum signal to detect abnormal conditions. In the search for better industrial development, the study of techniques that improve equipment availability is of utmost importance. Within this context, this dissertation aims to study the applicability of using this technique to improve the reliability of a roller table, with 264 electric motors installed in the process in a sequential manner, where any failure in one of these pieces of equipment impacts the entire process. These motors are driven by frequency inverters and this type of drive can pollute the MCSA response and therefore the problem will also be discussed. The results presented in this dissertation show that the fault detection technique works, even with all the practical realities encountered in the actual implementation of equipment