Mera Pérez, DavidCotos Yáñez, José ManuelGomez, AndrésVidal Franco, José IgnacioMouriño Gallego, José CarlosRecamán González, SantiagoGonzález Pichel, JoséMartínez Pérez, José Alberto2025-11-052025-11-052023-06-14https://hdl.handle.net/10347/43550Examples refer to a moisture content control system and method for controlling a fibre moisture content in a fibreboard manufacturing process. The system comprises a plurality of sensors to monitor parameters of the fibreboard manufacturing process, a plurality of feedback loop controllers to adjust parameters of the fibreboard manufacturing process based on differences between pre-defined setpoints associated to the parameters and current value of said parameters and a moisture control unit. The moisture control units receives a plurality of inputs, generates, using a neural network, a prediction of the fibre moisture content at the output of the drying stage, compares the prediction with a pre-defined setpoint of the fibre moisture content at the output of the drying stage and modifies at least one setpoint associated to a corresponding input drying temperature of a respective drying unit of the fibreboard manufacturing process based on the result of the comparison.mulIndustry 4.0Machine LearningFibreboard Manufacturing ProcessFibre MoistureMoisture content control systempatentopen access