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AVEVA™ Insight

AVEVA Insight Asset Anomaly Detection Overview

  • Last UpdatedOct 10, 2024
  • 1 minute read

AVEVA Insight Asset Anomaly Detection uses historical data to model the normal behavior of a system and to build a collection of models. The Asset Anomaly Detection algorithm continuously compares current values of the running system against the historical values by running the models. Organizations leverage this information to identify anomalies in their monitored systems and to help them investigate the causes of any deviations from the expected values and secure the health and reliability of their assets.

The heart of AVEVA Insight Asset Anomaly Detection is model creation. Start by creating a model on the Asset screen.

The Asset page

Video Tutorial: Create an Insight Anomaly Detection model

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