Aplicação da técnica Motor Current Signature Analysis (MCSA) em motores de uma mesa de resfriamento de rolos
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Data
2024-09-10
Autores
Chagas, Rafael Mariano
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Universidade Federal do Espírito Santo
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
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Motores de indução , Manutenção preditiva , Detecção e diagnóstico de falhas , Análise da assinatura de corrente de motores , Induction motors