Abiola, AbiodunSegura Manzano, FranciscaAndújar Márquez, José ManuelBarragán Piña, Antonio Javier2025-02-112025-02-112024-06-19Abiola, A., Segura Manzano, F., Andújar Márquez, J.M., Barragán Piña, A.J.: "Integration of artificial intelligence with automation for predictive maintenance in sustainable hydrogen production plants". En: editores: Jesús Enrique Sierra García, Mario Peñacoba Yagüe, Pedro J. Cabrera Santana. XIX Simposio CEA de Control Inteligente: libro de actas. (Universidad de Burgos, 19-21 de junio de 2024). ISBN 978-84-18465-97-0. https://doi.org/10.36443/9788418465970978-84-18465-97-0https://hdl.handle.net/10272/25037Automation in modern industries is possible with the aid of sensors that measure signals needed for control, fault detection and decision making about a process. Such decisions include the time to perform predictive maintenance which is not possible when there is a failure in one of the sensors. Artificial intelligence techniques can be used to detect faults in a sensor and predict what its correct reading should be using signals from other sensors involved in the process. For accurate prediction, a signal from an alternative sensor, or a combination of signals from different sensors, should be selected that has a strong correlation with the signal to be predicted. In this study, to demonstrate the application of artificial intelligence in automation, an electrolyser operating in an automated process has been considered. A Deep Reinforcement Learning (DRL) algorithm was developed to select the best signal among others with the highest correlation coefficient of 0.99. The selected signal was then used in a long short-term memory (LSTM) to predict faulty temperature signals in the electrolyser. The root-mean-square error (RMSE) of the predicted signal was 0.1351.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Inteligencia artificialMantenimiento predictivoAutomatizaciónconference output10.36443/9788418465970open access33 Ciencias Tecnológicas