This workflow performs anomaly detection using a control chart:
- Calculate the "normal conditions" as the average +/- 12 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
Workflow
Anomaly Detection. Control Chart
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.1
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
Legal
By using or downloading the workflow, you agree to our terms and conditions.