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Fourier Transform for Anamoly Detection

IoT Time Series FFT Fourier Transform DFT
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In this workflow I demonstrate how the Fourier Transform along with basic aggregations and rule settings can be used to automatically detect anomalies on when armed with only "normal" data.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Plotly Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.2

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