This workflow applies a previously trained auto-regressive model to predict signal values. The model was trained for normal functioning conditions. After prediction, the first and second level alarms are calculated based on the differences between real values and predicted values.
EXAMPLES Server: 50_Applications/17_AnomalyDetection/03_Time_Series_AR_Deployment50_Applications/17_AnomalyDetection/03_Time_Series_AR_Deployment*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually