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Digital Twin

Digitize assets and processes to enable better industrial outcomes

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What is a digital twin?

Digital Twin Interview with Chad Stoecker
Digital Twin Interview with Chad Stoecker
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Digital twins are software representations of assets and processes that are used to understand, predict, and optimize performance in order to achieve improved business outcomes.  Digital twins consist of three components: a data model, a set of analytics or algorithms, and knowledge.

Benefits of digital twins

Increased reliability and availability

Reduced risk

Lower maintenance costs

Improved production

Faster-time-to-value

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What makes a digital twin?

Digital twins consume historical context and performance data to understand the past, use direct and indirect data to view present conditions, and apply machine learning and knowledge to predict the future. At GE Digital, we define a hierarchy of digital twins most common being: component, asset, system, and process. By knowing current context and predicting future state of a digital twin, you can effectively monitor, simulate, and control an asset or process, and optimize lifecycles whether it is online or offline.

Hierarchical approach to digital twins

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Component

This is a digital twin of a component of an asset, such as a bearing on a rotating piece of equipment. The component twin is typically a major sub-component that has a significant impact on the performance of the asset to which it belongs.

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Asset

This is a digital twin of an entire asset, such as a motor or pump. Asset twins can be collections of and informed by component twins. Asset twins provide visibility at the equipment level.

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System or Unit

The system or unit twin is a collection of assets that together perform a system- or network-wide function, such as an oil and gas refinery or a production line in a factory. A system twin provides visibility into a set of interdependent equipment.

 

Chad Stoecker, Vice President, Global Managed Services at GE Digital explains why digital twins are becoming the new normal for industrial companies. Read “From the space race to commonplace” in Connected Technology Solutions to learn more about how GE Digital defines a Digital Twin and how we are working with customers to save customers more than $1.5 billion by avoiding unplanned downtime in industries as diverse as Oil & Gas, Power Generation, Grid Transmission and Distribution, Aviation, Mining and Manufacturing.

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Process

A process twin is typically the highest level twin that provides a view into a set of activities or operations, such as a manufacturing process. The process twin can be informed by a set of asset or system twins but focuses more on the process itself rather than the equipment.

Outcomes enabled by digital twins

Outcomes enabled by digital twins

93-99.49 %
Increased reliability in less than 2 years
40 %
Reduced reactive maintenance in less than 1 year
75 %
Reduced time to achieve outcomes
$11 M
Avoidance in lost production by detecting and preventing 3 failures

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