Twin Engine
The Twin Engine creates anomaly detectors for assets.
We've previously experimented with common anomaly-detection algorithms with ARDI. While they were effective, we discovered the following…
- Most of these algorithms simply provided a 'Yes' or 'No' response, and couldn't explain why they were triggering.
- They would often be overly sensitive to channels of data that weren't very important.
Our solution was to use Generative AI to create a twin model of the asset(s). This helps to not only explain why an alert has been raised, but also lets users tune the alerts to ignore the less-relevant properties of your assets.
Building a Twin Model
To build a twin, you need to go through a couple of steps.
1) Search for the asset you want to detect anomalies on and open the dashboard, 2) Press the Twin button, 3) If there isn't a model for that asset already, you'll be able to press Create Model to build a new model.
Building the model can take a while - normally from 30-90s, but it depends on the size of the model and the hardware ARDI is installed on.
Once building is complete, you can view the model state.