VIEIRA, João Paulo Abreu2025-03-242015https://rigalileo.itegam.org.br/handle/123456789/837As the development of the electrical power market, the maintenance automation has become an intrinsic need to increase the overall economic efficiency of hydropower plants. This dissertation presents an assessment of the implementation of a predictive maintenance system of electrical machines (SIMME) on Balbina hydroelectric power plant in Amazonas, Brazil. The system was elaborated to predict defects, failures or bad operational states of machines of the hydroelectric plant and suggest maintenance intervention and operational emergency actions. The results show that the SIMME improved the economic performance of the hydropower plant.Manutenção PreditivaMáquinas ElétricasMonitoração de VibraçãoDiagnósticosUsinas Hidrelétricaspdf.Engenharias; Engenharia Elétrica