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Internet of Things
Sensor
IoT Anomaly detection Predictive maintenance Time series analysis Auto-regressive models
+3
  1. Workflow
    Anomaly Detection. Control Chart
    Anomaly detection Time series analysis IoT
    +5
    This workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the cumulative average +/-…
    knime > Examples > 50_Applications > 17_AnomalyDetection > 04_Creating_a_ControlChart_of_a_Time_Series
    3
  2. Workflow
    Anomaly Detection. Time Series AR Testing
    Anomaly detection Time series analysis Auto-regressive models
    +6
    This workflow tests the performance of previously trained auto-regressive models for anomaly detection: - Filter the data to the …
    knime > Examples > 50_Applications > 17_AnomalyDetection > 03b_Time_Series_AR_Testing
    2
  3. Workflow
    Anomaly Detection. Time Series AR Deployment
    Anomaly detection Time series analysis Auto-regressive models
    +7
    This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…
    knime > Examples > 50_Applications > 40_Anomaly_Detection > 03_Time_Series_AR_Deployment
    2
  4. Workflow
    Time Series AR Training
    Anomaly detection Time series analysis Auto-regressive models
    +4
    This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal func…
    knime > Codeless Time Series Analysis with KNIME > Chapter 11 > 02_Time_Series_AR_Training
    1
  5. Workflow
    Anomaly Detection. Control Chart
    Anomaly detection Time series analysis IoT
    +4
    This workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the average +/- 12 times t…
    knime > Codeless Time Series Analysis with KNIME > Chapter 11 > 04_Creating_a_ControlChart_of_a_Time_Series
    1
  6. Workflow
    Anomaly Detection. Time Alignment & Visualization
    Anomaly detection Time series analysis Time alignment
    +7
    This workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, …
    knime > Examples > 50_Applications > 17_AnomalyDetection > 01_Preprocessing_Time_Alignment_and_Visualization
    1
  7. Workflow
    Anomaly Detection. Time Series AR Deployment
    Anomaly detection Time series analysis Auto-regressive models
    +6
    This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…
    knime > Codeless Time Series Analysis with KNIME > Chapter 11 > 03a_Time_Series_AR_Deployment
    0
  8. Workflow
    Anomaly Detection. Time Series AR Training
    Anomaly detection Time series analysis Auto-regressive models
    +4
    This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal func…
    knime > Examples > 50_Applications > 40_Anomaly_Detection > 02_Time_Series_AR_Training
    0
  9. Workflow
    Glucose TSA
    Keras Forecasting Sensor
    +6
    This workflow uses sensor data from a wearable glucose monitoring device to generate 30 minute forecasts for glucose levels, then…
    knime > Codeless Time Series Analysis with KNIME > Chapter 9 > Glucose TSA
    0
  10. Workflow
    Preprocessing,Time Alignment and Visualization
    Anomaly detection Time series analysis Time alignment
    +6
    This workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, …
    knime > Codeless Time Series Analysis with KNIME > Chapter 11 > 01_Preprocessing_Time_Alignment_and_Visualization
    0
  11. Workflow
    Time Series AR Visualization
    Anomaly detection Time series analysis Auto-regressive models
    +4
    This workflow visualizes the performance of previously trained auto-regressive models for anomaly detection: - Filter the data to…
    knime > Codeless Time Series Analysis with KNIME > Chapter 11 > 03b_Time_Series_AR_Visualization
    0
  12. Workflow
    MDF meets Apache Kafka
    MDF Kafka Apache
    +8
    The MDF Reader node extracts sensor data about Motor and Turbine speed from a MDF file. The Kafka Connector and Kafka Consumer no…
    knime > Examples > 01_Data_Access > 10_Other > 01_MDF_meets_Apache_Kafka
    0
  13. Workflow
    Anomaly Detection. Time Series AR Training Dataviz
    Anomaly detection Time series analysis Auto-regressive models
    +5
    This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal func…
    knime > Examples > 50_Applications > 17_AnomalyDetection > 02_Time_Series_AR_Training_dataviz
    0
  14. Workflow
    Anomaly Detection. Time Series AR Deployment
    Anomaly detection Time series analysis Auto-regressive models
    +7
    This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…
    knime > Examples > 50_Applications > 17_AnomalyDetection > 03a_Time_Series_AR_Deployment
    0
  15. Workflow
    Anomaly Detection. Time Series AR Training
    Anomaly detection Time series analysis Auto-regressive models
    +5
    This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal func…
    knime > Examples > 50_Applications > 17_AnomalyDetection > 02_Time_Series_AR_Training
    0
  16. Workflow
    Anomaly Detection. Time Alignment & Visualization
    Anomaly detection Time series analysis Time alignment
    +6
    This workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, …
    knime > Examples > 50_Applications > 40_Anomaly_Detection > 01_Preprocessing_Time_Alignment_and_Visualization
    0