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How an MBSE digital twin improves reliability analysis for Skypath Analytics

Reliability engineers often face a common challenge: valuable product and system information already exists, but reliability models still need to be recreated manually from technical documentation, spreadsheets, and other disconnected sources. This duplicated effort can increase engineering costs, consume valuable resources, and make it harder to keep reliability models aligned with the latest product definition. Skypath Analytics is helping aerospace and defense organizations address this challenge by leveraging the MBSE digital twin already managed in Teamcenter.

An MBSE digital twin helps aerospace and defense organizations reuse system models, product structures, and configuration data to create and maintain reliability models without manually recreating information from disconnected sources.

In this customer interview, James Hill of Skypath Analytics explains how connecting an MBSE digital twin in Teamcenter with Simcenter MADE reliability models can help organizations improve reliability analysis while extending the value of existing MBSE investments.

By connecting SysML-based system models, product structures, and the digital thread, an MBSE digital twin can support model-based reliability engineering throughout the lifecycle.


Why Aerospace and Defense organizations use an MBSE digital twin for reliability engineering

Organizations looking to modernize reliability analysis can:

Man working on drone aircraft to support MBSE digital twin for reliability analysis
  • Reuse information from the MBSE digital twin and product definition rather than recreating reliability models from technical documentation
  • Reduce engineering effort by leveraging information already captured in system definitions, product structures, and bills of materials
  • Improve the quality of reliability analysis by keeping models synchronized with the latest MBSE digital twin, design, and configuration data
  • Shift reliability analysis earlier in development to identify issues sooner and support better design decisions
  • Connect reliability digital twins with the MBSE digital twin and digital thread to improve traceability and deliver insights faster
  • Reduce FMEA update effort by leveraging model-based reliability approaches that have demonstrated up to 50% faster and lower-cost updates compared to spreadsheet-driven methods

As James Hill, CEO of Skypath Analytics explains:

Our customers often ask us to update the failure modes effects analysis… We can do that 50% faster and cheaper than doing it the traditional method using spreadsheets.


Frequently Asked Questions

What is an MBSE digital twin?
An MBSE digital twin is a model-based representation of a system that captures system architecture, relationships, requirements, and product information so engineering teams can reuse that information across the lifecycle.

How does an MBSE digital twin improve reliability analysis?
An MBSE digital twin provides product structures, system definitions, and configuration information that can be reused to create reliability models, reducing manual effort and improving model consistency.

How does Teamcenter support an MBSE digital twin?
Teamcenter manages MBSE models, product structures, and configuration data that can be connected to downstream engineering activities such as reliability analysis and maintenance planning.

What is a reliability digital twin?
A reliability digital twin is a model that predicts system behavior, failures, maintenance requirements, and reliability characteristics using engineering and operational information.

How can aerospace and defense organizations use MBSE and reliability digital twins together?
Organizations can connect reliability digital twins with an MBSE digital twin and the digital thread to improve traceability, accelerate analysis, and support better engineering decisions throughout development.


Connecting product definition and reliability analysis

Rather than rebuilding reliability models from technical documentation and spreadsheets, organizations can leverage SysML and MBSE investments already captured in Teamcenter. This helps reduce translation errors, keeps reliability models aligned with bills of materials and product structures, and enables reliability analysis earlier in the design process. As product configurations evolve, the connection between the MBSE digital twin and reliability digital twin helps keep reliability analysis aligned with the latest system definition.

Skypath Analytics specializes in model-based reliability, availability, maintainability (RAM), and maintenance analysis for the aerospace and defense industry. Their approach focuses on connecting a reliability digital twin in Simcenter MADE with the MBSE digital twin and product definition data managed in Teamcenter, helping ensure that reliability analysis remains synchronized with the actual design and configuration of the system.

By connecting the MBSE digital twin, product structures, and reliability models, organizations can gain more value from existing engineering investments while improving the speed, quality, and efficiency of reliability analysis across the product lifecycle.

Watch the video to learn how Skypath Analytics uses an MBSE digital twin, Teamcenter, and Simcenter MADE to help aerospace and defense organizations reduce manual modeling effort, improve model accuracy, accelerate FMEA activities, and strengthen the digital thread for reliability engineering.

Man inspecting helicopter to support MBSE digital twin for reliability analysis

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Will Haines
This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/teamcenter/mbse-digital-twin-reliability-analysis/