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Traditional preventive maintenance for industrial assets generates costly and unnecessary maintenance costs. These costs can be greatly reduced with a twin digital system, which combines precise virtual replicas of a physically based product with the data collected using the Internet of Things (IIoT) industrial connectivity platforms. The resulting information and predictive maintenance information allow engineers to analyze intelligent machines in real-world operating conditions and make informed decisions, which substantially improve product performance, reduce risk, avoid unplanned downtime and encourage product development with accurate feedback. and individualized on the behavior of the product during operations.

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