A digital twin is a virtual replica of a physical asset—be it a pump, a turbine, or an entire refinery. By feeding real-time sensor data into this model, operators can see exactly how the asset is performing.
The real power lies in simulation. Engineers can fast-forward the digital twin to predict when a component will fail, allowing for condition-based maintenance strategies that replace parts only when necessary, rather than on a fixed schedule.
This technology is extending the life of aging assets by years and saving billions in maintenance costs across the industry.
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