Resumen de Anomaly Detection Over an Ultrasonic Sensor in an Industrial Plant

Esteban Jove Pérez , José-Luis Casteleiro-Roca , José Manuel González Cava, Héctor Quintián Pardo , Héctor Alaiz Moretón , Bruno Baruque Zanón , Juan Albino Méndez Pérez , José Luis Calvo-Rolle

• The significant industrial developments in terms of digitalization and optimization, have focused the attention on anomaly detection techniques. This work presents a detailed study about the performance of different one-class intelligent techniques, used for detecting anomalies in the performance of an ultrasonic sensor. The initial dataset is obtained from a control level plant, and different percentage variations in the sensor measurements are generated. For each variation, the performance of three one-class classifiers are assessed, obtaining very good results.