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The culture of excellence in the area of maintenance combined with the needs of production cost reduction and increased productivity makes the reliability of electric power generation process becomes increasingly important, making room for the emergence of new maintenance techniques, especially predictive techniques that use continuous monitoring equipment systems. Predictive maintenance is the technique that establishes the planned corrective maintenance based on the changing monitored parameters. These monitored parameters may come from continuous condition monitoring system, which are more effective. Within this context, the most ancient and widespread technique is the vibration analysis. However, a relatively new technique and, until so little used, is the electrical signature analysis of generators. This paper presents the development of a predictive system for diagnosing internal combustion engines faults as well excitation and coupling through the electrical signature analysis of voltage and current signals of the generator. The main goal of this system is to obtain the signature of the electrical signals to identify the magnitude and frequency of each individual component allowing the identification of different faults in the generator group. The paper presents some measurements acquired directly through the installation of the developed system in SUAPE II thermal power plant. [ABSTRACT FROM AUTHOR]