Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring

Article type: Research Article

Authors: Jove, Esteban^{1; 2; *} | Casteleiro-Roca, José-Luis^{1; 2} | Quintián, Héctor¹ | Méndez-Pérez, Juan-Albino² | Calvo-Rolle, José Luis¹

Affiliations: [1] Universidade da Coruña, A Coruña, Spain | [2] Universidad de La Laguna, Tenerife, Spain. E-mails: [email protected], [email protected], [email protected], [email protected], [email protected]

Correspondence: [*] Corresponding author.

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.

Keywords: virtual sensor, fault detection, recovery, FDD, FDR

Journal: Informatica, vol. 30, no. 4, pp. 671-687, 2019