In this work, an approach to implement a simplified fuzzy inference model for monitoring the conditions of workings of power generators through the pressure values of combustion temperature and engine water pressure is displayed. The model helps the supervisory system, through real-time evaluation of the operating conditions of the engine in percentage rates. The application of tools based on computational intelligence, have shown efficiency in various areas of industrial engineering