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PREDICTIVE MAINTENANCE 4.0: CONCEPT, ARCHITECTURE AND ELECTRICAL POWER SYSTEMS APPLICATIONS

In a globalized and constantly evolving scenario, maintenance activity has proved to be increasingly fundamental as a strategic issue for organizations, with the main function of ensuring the assets and power plants availability. In order to remain competitive, organizations need to make their processes more sustainable, reducing costs and increasing the availability of their assets. The achievement of these goals has been possible with the emergence of Industry 4.0 technologies. These technologies make it possible for organizations to become more intelligent and productive. Therefore, it is not surprising that Predictive Maintenance 4.0 has emerged as one of the main use cases of Industry 4.0, since the benefits generated by its application meet the current needs of energy companies. In this context, this article aims to present the evolution of types of maintenance, the concept of Predictive Maintenance 4.0, the building blocks of a 4.0 predictive system, and presents a study on the applications of Predictive Maintenance 4.0 in electrical power systems and their benefits. It is worth mentioning that this study was carried out within the scope of the Urban Futurability Project, an R&D innovation project that ENEL Distribuição São Paulo develops in Brazil.