A inteligência artificial aplicada à manutenção preditiva de equipamentos embarcados: uma visão holística

Abstract

The current final paper is focused on the deep interaction between Artificial Intelligence (AI) and the predictive maintenance, which when combined, can transform the maintenance procedures into several industrial segments. Due to the significant progress in AI technologies and the continuous demand for more efficient methods of maintenance, it is important to understand that this confluence has potential benefits for the modern industry. Throughout a bibliographic review, this study examines a variety of academic publications, articles and relevant literature to provide a wider vision of the subject. The investigation has shown that the AI, with its unique ability of manipulation and distinguishing a vast set of data, presents unparalleled opportunities with precise prediction of an equipment or a system failure. When those predictions are applied appropriately, it can result in operational costs decrease, the extension of the equipment’s lifespan and the required assurance of a more efficient and safe operation. Furthermore, the AI introduces new approaches for maintenance, which can allow the institutions to have a proactive response for the emerging challenges. It is therefore concluded that, in a holistic vision, - where everything is connected to the assimilation of the AI in the predictive maintenance, - it is not only a futuristic tendency, but a logical and essential progression in the field of maintenance. The conclusion of the present work provides a powerful foundation for the following researches and for the practical implementation, which has the aim of capitalizing the advantages of this technological combination completely.