TASGA RENOVABLES

The objective is to perform a predictive estimation of possible failure events in power generation machinery. For this purpose, the module will train a model based on historical errors and time series of the different variables of the machinery involved in the process (e.g. evolution of the revolutions of a motor). In case this training cannot be performed due to lack of data, the application of other analysis methodologies such as anomaly detection will be studied to anticipate as early as possible critical errors for the generation systems.