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Avoid Surprises with Predictive Analytics and Improve Asset Reliability using Digital Twins

Avoid Surprises with Predictive Analytics and Improve Asset Reliability using Digital Twins

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By utilizing Digital Twins and Predictive Diagnostic capabilities from GE Digital, have the peace of mind that your assets under management will perform as needed, reliably. By pinpointing small issues early on, you can proactively plan your asset maintenance and avoid short notices due to unplanned outages/maintenance activities. Addressing problems weeks in advance prevents interruptions to your operations and your organization can plan properly for maintenance during planned activities reducing the need to take avoidable downtime when it may be too late.  

 

Our Digital Twin technology utilizes your existing infrastructure around process historian data and takes the subject matter expertise from GE and other customers to provide defined failure modes/degradation mechanisms built into the software. We utilize the historical operations of each individual asset and its variations in operating ranges, apply Machine Learning algorithms, and provides multivariate diagnostic alerts pinpointing where the issues may be occurring on your assets. We can scale easily across a site, multiple sites, or your entire enterprise of assets and enable you to leverage this data to make better informed decisions in your organization.  Empower your workforce and allow your best engineers to solve critical problems before they become major issues.

 

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Event Details

DATE AND TIME Mar 24, 2022 Starts at 10:00 AM - Ends at 11:00 AM Time zone is SGT (10:00 pm EST)
HOSTED BY GE Digital

Event Speaker

Thomas Lowisz

Thomas Lowisz

Sr. Product Manager, APM Reliability

GE Digital