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Anomaly Detection. Time Series AR Deployment

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Jul 11, 2019 7:27 PM
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This workflow applies a previously trained auto-regressive model to predict signal values. The model was trained for normal functioning conditions. After prediction, the first and second level alarms are calculated based on the differences between real values and predicted values.

External resources

  • IoT- Anomaly Detection with Time Series Analysis
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.0
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

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