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Anomaly Detection. Control Chart

Anomaly detection Time series analysis IoT Internet of Things Control chart
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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

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.1
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.1, 4.5.1

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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    KNIME Plotly Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

  • Go to item
    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

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