Fuzzy Inference System for fault detection in internal combustion engines in Thermoelectric Power Generating Plants

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.