Anomaly Detector (IFS Applications)
Anomaly Detector app provides next-generation anomaly detection and reporting capabilities to monitor temporary and persistent anomalies found within IoT devices.
Anomaly Detector (IFS Applications) offers built-in machine learning-based anomaly detection capabilities to monitor temporary and persistent anomalies within IoT devices and shows how to integrate Novacura Flow to notify alerts to the user. This also allows the user to take control actions by creating fault reports back to IFS Applications
The Anomaly Detector (IFS Applications) API is used to enable monitoring and detect abnormalities in your time series data without having to know machine learning.
The algorithm adapts itself automatically identifying and applying the best-fitting models to your data regardless of industry, scenario or data volume.
Using your time-series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
Main Features:
- Automatic anomaly notification for user
- Review the prior measurements in both tabular and graphical views
- View previously created IFS work orders
- Create new fault report (work order) in IFS Application upon detection
| App Type | Base Application |
| Flow version | Classic |
| ERP Type | IFS Applications 10 |
| Process Area | Maintenance / Service / Inspections |
| Library | Standard Apps - IFS |
| Product Clients | Mobile ClientWeb Client |
| Product Connectors | DatabaseREST Service |
| Product Publisher | Novacura Business Apps |
| Publishing Date | 2021-11-01 |
| Powered by AI | Yes |
See It in Action
Want to see how this app works in your ERP environment? Request a demo and we’ll walk you through it.