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Preprocessing,Time Alignment and Visualization

Anomaly detectionTime series analysisTime alignmentIoTInternet of Things
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Dec 13, 2021 11:03 AM
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This workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, FFT frequency, and FFT amplitude - Standardize the data by binning the frequencies and averaging the data by sensor, frequency bin and date - Perform timestamp alignment - Join all files by date - Visualize the preprocessed data in a line plot, scatter matrix, correlation matrix, autocorrelation matrix, and heatmap

External resources

  • Anomaly Detection Full Dataset
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Created with KNIME Analytics Platform version 4.5.0
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    KNIME Base nodesTrusted extension

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    Versions 4.4.1, 4.5.0

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    Version 4.4.0

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    Versions 4.4.1, 4.5.0

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    Version 4.4.1

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