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04_​Creating_​a_​ControlChart_​of_​a_​Time_​Series

Anomaly Detection. Control Chart
This workflow performs anomaly detection using a control chart line plotswith date on x-axisaverage alarmon y-axislearning boundaries andthrow 1 if signal isoutside of boundariesmean(alarm 1) across signals at same timeif mean(alarm 1) > 0.25 => alarm 2Remove datefrom loop columnssend emailresolve missingswith last valuewritealarmPlot.pngRead AlignedData.csvproduced by the preprocessingworkflow Generate LinePlot 1st level alarm 2nd level alarm Column Splitter Column Appender Fire if level2 Alarm Missing Value Image Writer (Port) ExampleControl Chart CSV Reader This workflow performs anomaly detection using a control chart line plotswith date on x-axisaverage alarmon y-axislearning boundaries andthrow 1 if signal isoutside of boundariesmean(alarm 1) across signals at same timeif mean(alarm 1) > 0.25 => alarm 2Remove datefrom loop columnssend emailresolve missingswith last valuewritealarmPlot.pngRead AlignedData.csvproduced by the preprocessingworkflowGenerate LinePlot 1st level alarm 2nd level alarm Column Splitter Column Appender Fire if level2 Alarm Missing Value Image Writer (Port) ExampleControl Chart CSV Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2019-07-12
Last update: 2024-04-24
Created with KNIME version: v4.6.1
Tags: anomaly detectiontime series analysisIoTInternet of Thingscontrol chartpredictive maintenancesensormanufacturing

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