Digital Twin Development and it's Effectiveness

Abstract

The Department of Defense (DOD) underscores the need for real-time system performance feedback,essential for optimizing operational efficiency and informed decision-making in combat scenarios. Key to this endeavor is the digital twin (DT) concept where it can facilitate the shift from traditional time-based maintenance to condition-based maintenance, harnessing advancements in prognostic and health management technologies. This research proposes a notional DT framework for real-time data collection, rooted in the model-based systems engineering (MBSE) approach and integrated with Department of Defense Architecture Framework (DoDAF) 2.0 views. Using the Xerox ElemX 3D printer as a benchmark, the study highlights the DTs potential in enhancing printer optimization and reliability through predictive capabilities. The Technology Readiness Level and the Validation Square methods of validation were merged for comprehensive evaluation to ensures the DT frameworks transition from conceptual design to functional deployment occurs.The research concludes with forward-looking recommendations, including AI integration into DTs and advanced security protocols.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2023
Accession Number
AD1224612

Entities

People

  • Grace Y. Chng

Organizations

  • Naval Postgraduate School

Tags

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Economics
  • Software Engineering.