Manutenção preditiva através da análise de fluidos como ferramenta para redução de custos de manutenção em colhedoras de cana

Abstract

Agribusiness is in constant evolution, always searching to optimize production and profits. For this, large investments are made in improving and developing cultivation methods and new harvesting methods to keep up with the market and reduce costs. In addition, maintenance forms and plans are being developed and improved. With this, creating strategies to enhance and increase the life span of agricultural machinery has become essential for the economy in the short and long term, making it necessary to act before the problem becomes critical. Thus, this work aims to highlight the importance of preditive maintenance by analyzing lubricant fluids to reduce maintenance costs. Therefore, investigations were conducted on three operating agricultural machines, to point out common equipment failures, as well as the imminent loss of not having control of the health of its machine, and its components. The results showed that predictive maintenance allowed for a substantial reduction in costs associated with parts expenses compared to corrective maintenance.