Análise de vibração e termografia na manutenção e confiabilidade de equipamentos em uma usina de beneficiamento de sementes

Abstract

The industry, which in 2019 represents almost one third of the national GDP, has in maintaining one of the main areas support for its optimum functioning, maintenance that has 4 fundamental types: corrective (which is divided into planned and unplanned), preventive, Predictive and discovertive. The predictive is notable for presenting a reduction in equipment repair costs and a high effectiveness in improving the process, in this type two tools are highlighted: vibration analysis and thermographic analysis. Thus, this work has as general objective to identify and evaluate the effects of the analyses cited in the maintenance process and on the reliability of equipment used in a seed beneficiation plant. As a way of fulfilling the general objective, some important concepts were explained about maintenance, reliability and their indicators, and then a case study was carried out using data from equipment used in the industrial plant in the last 3 years. The case study included the analysis of the predictive tools employed in the years 2017 and 2018, analyses that were performed by a partner company contracted by the company, analysis of the availability data, mean time between failures (MTBF) and time Repair (MTTR) of the selected equipment as samples. When analyzing the reliability indicators of the equipment it was possible to see a considerable improvement in the operation of the equipments and in the assertiveness of the maintenance activities, since changes in maintenance routines were generated to give Reduction in equipment downtime. After analyzing the results, it was possible to see that the introduction of a routine of predictive analyses can have great benefits for the maintenance work, since it considerably improves the team's performance as a support area for the production process, leaving The most available equipment for working and with high-level performance and qualities. It was possible to observe opportunities also, some indicators showed less than expected improvement, but also were exposed ways to seize these opportunities and continue the process of continuous improvement of reliability and maintenance indicators.