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GE Digital

Digital Twin

Digitize assets and processes to enable better industrial outcomes

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What is a digital twin?

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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.

Data model

A hierarchy of systems, sub-assemblies, and components that describe the structure of the digital twin and its characteristics.

Analytics

Predict, describe, and prescribe the behavior (current and future) of an asset or process via both physics and AI/ML models.

Knowledge base

Data sources that feed analytics, subject matter expertise, historical data, and industry best practices.

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.

Blog post

Digital Twins: The Bridge Between Industrial Assets and the Digital World

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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.

Blog post

A Digital Twin Approach for Designing Cost-effective Maintenance Strategies

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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.

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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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