The document provides information about a webinar on predictive asset management. It discusses how asset data from sensors can be analyzed using HP's HAVEn platform to optimize equipment reliability, performance management, operations control, and predictive maintenance. Examples of predictive asset analytics solutions for various industries are also presented.
Talking Points: S Harris
Industrial machines have always issued early warnings, but in an inconsistent way and in a language that people could not understand. The advent of networked machines with embedded sensors and advanced analytics tools has changed that reality. For the first time in history, remotely distributed machines across the globe – from MRIs to wind turbines to aircraft engines – can be monitored in real time, unlocking the language of machines and opening tremendous benefits.
Add Examples to this slide by Industry
Predictive Model
Benchmark Performance
Predict Efficiency
Online Dashboard
Dynamically monitor and control deviations