This workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the cumulative average +/- 2 times the corresponding standard deviation - Raise a 1st level alarm if a sensor exceeds the band for normal conditions on a single frequency band - Raise a 2nd level alarm if this happens on at least 25% of the frequency bands of all sensors at the same time - Visualize the 2nd level alarms in a line plot in order to show the 2nd level alarms w.r.t the rotor breakdown - Trigger an action if a 2nd level alarm is active
Used extensions & nodes
Created with KNIME Analytics Platform version 4.6.1
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