01_Preprocessing_Time_Alignment_and_Visualization
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
URL: Manufacturing Purchasers: There's a Better Way to Calculate your Economic Quantity https://www.knime.com/blog/economic-order-quantity
URL: Anomaly Detection for Predictive Maintenance - Exploratory Data Analysis https://www.knime.com/blog/anomaly-detection-for-predictive-maintenance-EDA
Nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME JavaScript Views
- FeatureKNIME JavaScript Views (Labs)
- FeatureKNIME Javasnippet
- FeatureKNIME Quick Forms
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