Isolation Forest Anomaly Detection Model
The Isolation Forest Anomaly Detection Model for IBM® Maximo® Asset Monitor applies the open source model and includes specialized IoT models, analysis notebooks, functions, and dashboards for Anomaly Detection.
By adding this digital twin to your cart, you are confirming that you have read the End User License Agreement to this digital twin under the Store Policies tab below.
The use case here is to detect anomalies within a Maximo Asset Monitor dataset using a scikit-learn model, which is externally hosted in a Watson Machine Learning service. Anomalies are able to be visualized and metric correlations between anomalies via time-series graphs.
When the data scientist has trained and tested this model with their asset , they will understand how to:
- Load asset data into Monitor
- Forward data to external services via REST HTTP call.
- Build a dashboard using Maximo Asset Monitor to monitor, visualize, and analyze IOT asset data and Anomalies
- Generate alerts when certain results are received.
Oil & Gas
|Digital Twin Resources|
- not applicable -
Cancellation / Return / Exchange Policy
Product is offered as a free, non-supported example of an open source model packaged for Maximo Asset Monitor. Please submit any questions as a direct message to AI Applications Store, or use site resources for help.
End User License Agreement
There are no inquiries yet.