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GE’s Asset Performance Management (APM), powered by Predix, is a suite of cloud-based software and service solutions that works across all equipment, all OEMs, and all industries—across the plant and across the fleet. The solutions cover the full range of APM needs--Machine & Equipment Health, Reliability Management, and Maintenance Optimization--to help asset-centric industrial companies increase uptime, decrease costs, and reduce operational risks. Learn how you can unlock your data value.
+ Move from Reactive to Proactive
GE’s Asset Performance Management (APM), powered by Predix, is a suite of cloud-based software and service solutions that works across all equipment, all OEMs, and all industries—across the plant and across the fleet. The solutions cover the full range of APM needs--Machine & Equipment Health, Reliability Management, and Maintenance Optimization--to help asset-centric industrial companies increase uptime, decrease costs, and reduce operational risks. Learn how you can unlock your data value.

+ APM Covers Your Needs
Using APM is a three-step process—and we can help you no matter where you are along the journey. With APM, you’ll first understand how your machines are currently performing. Then you’ll move to improving your performance, while reducing costs and minimizing risks to your people and the environment. Finally, you’ll optimize your performance by making step-change improvements in your maintenance efficiency and effectiveness.

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  • SNAPSHOT
  • Platform as a Service
    Open website
    Open website
  • Application Industries
  • Energy
    Other
  • Application Functions
  • Maintenance
    Other
  • USE CASES
  • Asset Health Management (AHM)
    Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components: 1) Monitoring: Tracking the current operating status of the asset. 2) Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies. 3) Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
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