ARDI Documentation - twinengine

Adjusting Tolerances

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Adjusting Tolerances Adjusting your tolerances is a useful way to help tune your AI anomaly detector to help avoid raising an alarm when there's nothing wrong. To edit the tolerances of your AI, open the asset dashboard and choose AI Anomaly Detector. If you're signed in as an Administrator, you'll be able to press the

API

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

API You can make a REST API call to check if there is an AI detected anomaly. The endpoint is /twin/livevalues?asset=. Performance Notes The API call takes quite some time to run. This is because the entire neural network (ie. AI) is loaded and unloaded on each call.

Creating AI Anomaly Detector Models

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Creating AI Anomaly Detector Models The process of creating a model for our AI anomaly detector is mostly automatic - you only need to provide two things. 1) Any properties we should ignore, and 2) Example times where the asset has been behaving 'normally'.

Rebuilding an AI Model

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Rebuilding an AI Model If you've made changes to your data and would like to re-train your AI anomaly detector to take advantage of extra context information, you'll need to erase and rebuild your model. Backing Up Training Data This step is optional, but recommended when the AI you're rebuilding has several different training data samples.

Live Anomaly Detection

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Live Anomaly Detection Running the AI via the web interface or API is useful, but it's slow. Every request has to load, run and unload the AI on the server, which takes a considerable amount of time. If you want to have live alerts or feedback from your anomaly detector, you can instead download your model and run it via our

AI Anomaly Detection

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI Anomaly Detection The AI Anomaly Detector addon creates anomaly detectors for assets. These came about after conversations with our customers. When an issue was found on-site that they didn't have an alarm for, they mentioned how nice it would be if they could have an alarm that detected

SVM-Based Anomaly Detectors

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

SVM-Based Anomaly Detectors Our more advanced Generative AI anomaly detectors don't work for every application - in some cases, the problem is actually too simple for gen-AI to be effective. For these situations, we offer anomaly detection using support vector machines

Adding Training Data

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Adding Training Data Adding training data is one of the most useful things you can do to help tune your anomaly detector. To add or refine your training data, sign in as an Administrator, open the asset dashboard, and choose Training Data. Here you can both add and remove

Tuning Your AI Anomaly Detector

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

Tuning Your AI Anomaly Detector There are several reasons your anomaly detector might be giving false positives (showing an anomaly in normal situations). New Situations / Not Enough Training Data This is the most common cause of issues when you're starting to deploy anomaly detectors. AI requires

AI Anomaly Detector State Page

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI Anomaly Detector State Page The page above shows an example AI Anomaly Detector model state. Overall Status The top banner shows the overall state of the asset. It will be green when normal (the live values are similar to the model predictions), and red when abnormal.

AI Anomaly Detector Walkthrough

anonymous@undisclosed.example.com (Anonymous) — Thu, 18 Dec 2025 22:50:17 +0000

AI Anomaly Detector Walkthrough To create an anomaly detector, sign in to ARDI as an administrator. Then navigate to the dashboard of the asset you're interested in and click AI Anomaly Detector. In our example, we'll choose Bridle #4 from our Paint Line Demo