Abstract: A method for detecting an abnormality in a flow system includes obtaining, with a processor, input flow data for the flow system over a series of time intervals, sequentially processing, with the processor, the input flow data to generate, for each time interval in the series of time intervals, flow feature data, the flow feature data being representative of a plurality of flow parameters for the input flow data at the time interval in the series of time intervals, applying, with the processor, the flow feature data to a machine learning tool, the machine learning tool being configured to provide an assessment, for each time interval in the series of time intervals, of whether the input flow data is indicative of the abnormality being present in a following time interval in the series of time intervals, and providing, with the processor, output data indicative of the assessment.