2025-06-252025-06-252017https://repositorio.ifal.edu.br/handle/123456789/996The reliability of the electricity distribution systems is associated with the many investments that are implemented, specifically when the design of new projects and during the programming of maintenance activities. The Brazilian electric sector has been experiencing countless problems over time, with the greatest of these problems related to the constant failures in the distribution system. Occurrences of these failures influence the composition of the continuity indicators of Equivalent Duration of Unit Interruption Consumer (DEC), and Equivalent Frequency of Interruption of Unit Interruption Consumer (FEC); which are established by the National Electric Energy Agency (ANEEL), for each concessionaire, and if they are not fulfilled, the concessionaires will be subject to fines. This work proposes the development of models, using Multiple Linear Regression techniques (MLR) and Artificial Neural Networks (ANNs), which predict the values of these continuity indicators, aiming to assist the concessionaire in carrying out a more efficient planning for performing maintenance tasks. As an object of study, a collection of consumers was used from a concessionaire in the Northeast region. From the modes of failures occurring in the circuits that feed this set of consumers, the causes and frequencies of interruption in the electricity supply are analyzed, and how much these contribute to the increase in the values of DEC and FEC. Through the application of the developed models, you can evaluate the influence of certain modes of failures on DEC and FEC, prioritizing maintenance tasks in the equipment that contribute to the composition of these indicators. It is demonstrated that the knowledge of the influence of the modes of failures on the DEC and FEC indicators allows a proper decision-making on the implementation of maintenance actions, enabling the concessionaire to perform an efficient operation on those modes of flaws that are more and contributing to the operational stability and reliability of the entire electrical system.ptModelagem. Indicador de continuidade. Rede de distribuição de energia elétricaDissertaçãoENGENHARIAS::ENGENHARIA ELETRICA