Condition monitoring approach based on dimensionality reduction techniques for detecting power quality disturbances in cogeneration systems

The demand of electric power supply has increase in the industry due to most of its processes are involved with the use of electrical equipment and machines. Electric power generation due to integration of new energy sources has become an important area of continuous development in which Power Quality (PQ) problems must be faced. In this paper is proposed a condition monitoring strategy based on the estimation of statistical time domain-based features and Linear Discriminant Analysis to identify different PQ disturbances in a cogeneration system. The proposed method is first evaluated with a set of synthetics signals that include different PQ disturbances and then evaluated a real data acquired from a cogeneration system. The final diagnosis outcome is performed by means of a Neural Network. The obtained results shown that the proposed method is suitable for being applied in cogeneration system to identify different PQ disturbances.