Jove, EstebanCasteleiro-Roca, José-LuisQuintián, HéctorMéndez Pérez, Juan AlbinoCalvo-Rolle, José Luis2023-12-112023-12-112019Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Juan-Albino Méndez-Pérez, José Luis Calvo-Rolle, Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring, Informatica 30(2019), no. 4, 671-687, DOI 10.15388/Informatica.2019.2241822-8844http://hdl.handle.net/2183/34446[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator blades manufacture based on carbon fiber. The virtual sensor is necessary due to permanent problems with wrong sensor measurements. The solution proposed uses an intelligent model able to predict the sensor measurements, which are compared with the measured value. If this value belongs to a specified range, it is valid. Otherwise, the prediction replaces the read value. The process fault detection feature has been added to the proposal, based on consecutive erroneous readings, obtaining satisfactory results.engAtribución 3.0 Españahttp://creativecommons.org/licenses/by/3.0/es/Virtual sensorFault detectionRecoveryFDDFDRVirtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoringjournal articleopen accesshttps://doi.org/10.15388/Informatica.2019.224