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Component: IOT-PDM
Component Name: Predictive Maintenance
Description: Indicates the condition of a specific asset and is derived from the health score of that asset. The health status is the interpretation of the health score and makes the health score understandable and meaningful to users. The health status of an asset can either be unknown, critical, severe, or OK.
Key Concepts: Health status is a feature of the SAP IOT-PDM Predictive Maintenance component that provides an overview of the current condition of a machine or system. It is based on data collected from sensors and other sources, and is used to identify potential problems before they become serious. How to use it: The health status feature can be used to monitor the performance of a machine or system over time. It can be used to detect changes in performance, identify potential problems, and take corrective action before they become serious. Tips & Tricks: It is important to regularly check the health status of a machine or system to ensure that it is running optimally. This can help to prevent costly repairs or downtime due to unexpected problems. Related Information: The SAP IOT-PDM Predictive Maintenance component also includes features such as predictive analytics, anomaly detection, and root cause analysis. These features can be used in conjunction with the health status feature to provide a comprehensive view of the performance of a machine or system.