Identify and monitor unusual patterns or behavior in technical objects.
Anomaly detection allows reliability engineers to identify and monitor unusual patterns or behavior in technical objects. It automatically recognizes inconsistent patterns in sensor data streams and in turn significantly reduces human efforts of visual data inspection. The AI-based algorithm is initially fitted a normal condition of the technical object using indicator data. An assessment is run daily which compare the data set of the last days with the normal condition and raises an alert in the Alerts application when the data differ sufficiently from the normal condition.
Overview
Proactive Maintenance Scheduling
Proactively schedule maintenance and boost productivity
Maintenance Staff Data Analysis Access
Make advanced data analysis accessible to everyday maintenance staff
Reduced Reliability Engineer Workload
Significantly reduce manual work of reliability engineers
Details
Solution Type
AI Feature
Compatibility
Works with
SAP Asset Performance Management
Plans and pricing
SAP Asset Performance Management, Anomaly Detection
Details:
AI Units are not currently required to use this AI offering in the underlying Cloud Service. This is subject to change.
- Contract duration available upon request
- Has prerequisite
Details:
AI Units are not currently required to use this AI offering in the underlying Cloud Service. This is subject to change.
Technical Information
Get key details on setup, security, and integration to ensure your SAP products operate smoothly and securely.