Aplicação de análise de vibração como técnica de preditiva em motores de um parque industrial

Abstract

The present work aims to demonstrate the activities of predictive maintenance, through the analysis of vibration in electric motors in the industrial park, located in the city of Sobral - CE. In this sense, we select equipment critical to the industrial process, such as pumps and exhaust fans. In this way, we apply the predictive method to identify the causes responsible for generating changes in the operation of the equipment. As a result, we present two case studies. In the first case, we evaluated a centrifugal pump while, in the second case, an industrial exhaust fan. To perform the vibrational analysis, we use instruments that assess global vibration levels and apply the fast Fourier transform to diagnose possible failures through the vibrational spectrum presented by the equipment. Through these results, we can discuss the impacts generated by carrying out predictive maintenance associated with equipment maintenance management. We conclude that the application of predictive maintenance, associated with management concepts, provides an extraordinary result, without the need to increase maintenance costs and, in addition, reduces the risk of sudden equipment breakdown, which would directly impact production. The use of the criticality matrix favored greater efficiency in carrying out predictive maintenance, since, due to the number of equipment, it would not be possible to carry out all evaluations with the same frequency.