Kevin Ducharlet

Incremental properties Kevin Ducharlet is Ph.D. Candidate in the DRIT team. Since a year and a half, he started his thesis entitled: “Certification and confidence in sensor data: detection of outliers and abnormal values in time series.” Sensor data are generated using devices which measure a physical asset’s behaviour. These informations can be used to …

How to apply Christoffel-Darboux kernel on online anomaly detection with few parameterization Read More »

Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the sensors signals can be unreliable …

Automatic Detection of Anomalies in systems behaviors Read More »