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17_​AnomalyDetection

This directory contains 7 workflows.

Icon01_​Preprocessing_​Time_​Alignment_​and_​Visualization 

Anomaly Detection. Time Alignment & Visualization This workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data […]

Icon02_​Time_​Series_​AR_​Training 

Anomaly Detection. Time Series AR Training This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data […]

Icon02_​Time_​Series_​AR_​Training_​dataviz 

Anomaly Detection. Time Series AR Training Dataviz This workflow trains an auto-regressive model for anomaly detection: - Filter the data to training […]

Icon03a_​Time_​Series_​AR_​Deployment 

This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two months of its past values […]

Icon03b_​Time_​Series_​AR_​Testing 

Anomaly Detection. Time Series AR Testing This workflow tests the performance of previously trained auto-regressive models for anomaly detection: - […]

Icon04_​Creating_​a_​ControlChart_​of_​a_​Time_​Series 

Anomaly Detection. Control Chart This workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the cumulative […]

IconSend_​Email_​to_​start_​checkup 

Send email to start checkup This workflow simply sends an email. It is called via a Call Workflow node from a parent workflow. TAGS: […]