Structuring the monitoring and supervision systems of hydroelectric plants as intelligent systems

Abstract

This research evaluates existing technology in monitoring and supervision area, the hydroelectric plants. The aim is to select the best methods that minimize the failures in these plants through a rigorous evaluation and efficient diagnosis indicating its root cause and location in real time. Define the criteria and necessary conditions that will allow transforming the monitoring and supervision networks of hydroelectric plants in intelligent monitoring systems. These innovations will enable the prediction of incipient faults accurately and quickly through mathematical signs and processes model, ensuring greater reliability and availability of plants and a safe and economical operation.