Method of monitoring a system

Abstract

One aspect of the invention relates to a method for monitoring a system comprising: receiving a time sequence of data; determining a presence or absence of an anomaly in said time sequence of data, an absence of an anomaly corresponding to an absence of a particular event occurring in the system and to an absence of an irregularity intrinsic to the time sequence of data, said determination using a machine learning model; if the presence of an anomaly has been determined, generating identification information relating to said anomaly; receiving, via the user interface, confirmation information relating to the presence or absence of an anomaly in the time sequence of data; using said confirmation information and said identification information to train the machine learning model via a learning mechanism. Figure to be published with the abstract: Figure 4