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Digital Twin Background: GE is creating physics-based analytics to bring increased insight into every asset. To do this, GE engineers and scientists are applying our deep understanding of GE products from the design and manufacturing phases to create a digital model of each and every machine we deliver to our customers. These Digital Twins are living digital models that are continuously updated as a machine operates and learns from its sensors. Through these models, we can know the remaining useful life of key parts within the machine, without disrupting operations. At times, we also may obtain rich information from the machine, especially during planned inspections and maintenance. This information allows GE to compare and refine the model’s ability to predict the health of the machine at any point in time. As our machines operate around the world in various ways and in various conditions, GE is perfecting the art of modeling machine health. We have created a Digital Twin of the machine that is the foundation for the brain of the machine, a brilliant machine that is continuously aware of its own health and can imagine its future health under any future conditions and advise its owner on the best outcome. For example, the Digital Twin is used to optimize the economics of our customer’s operations, which includes avoiding unplanned downtime. Building the Digital Twin combines many technologies including: Data science; big data; materials science; physics; estimation; optimization; controls; digital architecture; and user experience. GE researchers live at the intersection of these physical and analytical sciences, bringing big data and big iron together for big value for our customers. GE business applications: The Digital Twin is a foundational analytic that can be used as part of many value-added applications for customers across all GE businesses. These include product configuration, optimal parts tracking and replacement, machine performance optimization, prognostics, decision support, field services, and more. The Digital Twin will bring new services to our customers as well as allow GE to execute on existing services more efficiently and effectively. GE is building the software architecture, data lake, model infrastructure, visualization, and applications on our Predix* platform to enable the Digital Twin to be deployed at scale across multiple industries and businesses. GE is first applying this technology to our Aviation business for large commercial aircraft engines. In-flight sensor data is used to update and personalize a performance and thermal model. This model will then be used to gain detailed insights of the stress and life of the parts inside of the engine. From that, we can schedule the optimal time for part replacement. Next, GE will apply this technology to update and personalize performance and thermal models in gas turbines. Here, the control system employs the information from the Digital Twin to operate the gas turbine in a manner that optimizes economic output while managing risks associated with avoiding unplanned downtime. The GE Store difference: The GE Store is a place where we create through collaboration. At Global Research, the greater value comes from our ability to rapidly form multidisciplinary teams that bridge our deep domain expertise in the physical sciences with our great strength in software and analytics. Both were required when creating the Digital Twin. 11PDF Image | GE Store for Technology
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