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Maintenance is considered a critical factor in the most diverse fields and is associated with several techniques. Among the existing preventive techniques, the lubrication plan guarantees a good operability of the components. The present study was carried out in a soy processing agribusiness located in the Southwest of the State of Goiás, Brazil, in which a device lubrication plan was identified and proposed. In addition, a survey was prepared between the number of grease applications, the amount of applied grease (g) and temperature (°C) of the components (bearings), and a multivariate regression model was suggested. The study was carried out from the monitoring of the work routines of the maintenance sector in a soy storage line, with the aid of a FLIR thermographic camera model E8. The proposal implemented in the study was able to reduce the costs of man-hours and consumables, and improve the reliability of equipment by the temperature indicator (°C).

Many mechanical equipment, when performing their functions, generate some type of noise. These noises can be mechanical vibrations, represented by speeds, accelerations and displacements. In most structures, these vibrations are considered unwanted. However, it is worth mentioning that, in some applications, they are necessary to maintain the proper functioning of machines and equipment, such as impact drills and compressor rollers. In order to represent experimental physical models numerically, it is common to use computer software that simulates their dynamic behavior. This helps to predict project failures and prevent accidents, saving time and, consequently, money. In this work, an analysis of the dynamic behavior of a system under impact suppression was performed. The variation parameter used was the excitation frequency, and according to the studied parameters, a chaotic behavior of the structure was noted. Therefore, in order to mitigate this chaotic behavior, an optimal linear control project (LQR) was developed, and its implementation was presented efficiently, reducing the amplitude of the response parameters, and minimizing the chaotic trajectories of the structure.

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