Anomaly detection method applied to vehicle monitoring
P. Garcia, Bruno Agard, Nicolas Saunier · IFAC-PapersOnLine · 2022
Anomaly detection is a topic studied in the literature for a large number of applications. As more and more data is collected continuously, numerous algorithms have been developed for anomaly detection in time series. In this paper, we first propose a method for time series anomaly detection that can be used in different fields. This method is then applied in a real case study for the detection of anomalous behavior of hybrid trucks. Finally, the results obtained are analyzed to propose lines of improvement.