Method and system for monitoring a remote system

A system for monitoring a remote system, comprising:

• a local data acquisition unit comprising a sensor system and a local data processing unit;
• and
• a central data processing system;
• wherein:
• the local data processing unit is configured to:
• obtain a plurality of measurement data units, each measurement data unit representing a time series of measurements made by the sensor system at the remote system;
• use a first trained machine learning model to identify a subset of the measurement data units that have a higher average probability of corresponding to an abnormal state of the remote system than the other measurement data units;
• and
• send data representing the identified measurement data units over a communications network to the central data processing system;
• and
• the central data processing system is configured to:
• detect an abnormal state of the remote system by using a second trained machine learning model to process the data representing the identified measurement data units received from the local data acquisition unit.