Anomaly Detection. Time Alignment & Visualization 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
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.1
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