Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
- URL: http://arxiv.org/abs/2507.04555v1
- Date: Sun, 06 Jul 2025 22:12:06 GMT
- Title: Testing, Evaluation, Verification and Validation (TEVV) of Digital Twins: A Comprehensive Framework
- Authors: Gabriella Waters,
- Abstract summary: Digital twins have emerged as a powerful technology for modeling and simulating complex systems across various domains.<n>This paper presents a framework for the Testing, Evaluation, Verification and Validation (TEVV) of digital twins.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Digital twins have emerged as a powerful technology for modeling and simulating complex systems across various domains (Fuller et al., 2020; Tao et al., 2019). As virtual representations of physical assets, processes, or systems, digital twins enable real-time monitoring, predictive analysis, and optimization. However, as digital twins become more sophisticated and integral to decision-making processes, ensuring their accuracy, reliability, and ethical implementation is essential. This paper presents a comprehensive framework for the Testing, Evaluation, Verification and Validation (TEVV) of digital twins to address the unique challenges posed by these dynamic and complex virtual models.
Related papers
- Continuously Updating Digital Twins using Large Language Models [49.7719149179179]
Digital twins are models of real-world systems that can simulate their dynamics in response to potential actions.<n>Current approaches struggle in this regard, as they require fixed, well-defined modelling environments.<n>We develop CALM-DT, a Context-Adaptive Language Model-based Digital Twin that can accurately simulate across diverse state-action spaces.
arXiv Detail & Related papers (2025-06-11T14:45:28Z) - Formal Verification of Digital Twins with TLA and Information Leakage Control [15.387256204743407]
Digital twin verification is challenging due to uncertainties in the virtual representation, the physical environment, and the bidirectional flow of information between physical and virtual.<n>This paper presents a methodology to specify and verify digital twin behavior, translating uncertain processes into a formally verifiable finite state machine.<n>We demonstrate this approach on a digital twin of an unmanned aerial vehicle, verifying synchronization of physical-to-virtual and virtual-to-digital data flows to detect unintended misalignments.
arXiv Detail & Related papers (2024-11-27T22:52:36Z) - Automatically Learning Hybrid Digital Twins of Dynamical Systems [56.69628749813084]
Digital Twins (DTs) simulate the states and temporal dynamics of real-world systems.
DTs often struggle to generalize to unseen conditions in data-scarce settings.
In this paper, we propose an evolutionary algorithm ($textbfHDTwinGen$) to autonomously propose, evaluate, and optimize HDTwins.
arXiv Detail & Related papers (2024-10-31T07:28:22Z) - From Digital Twins to Digital Twin Prototypes: Concepts, Formalization,
and Applications [55.57032418885258]
There is no consensual definition of what a digital twin is.
Our digital twin prototype (DTP) approach supports engineers during the development and automated testing of embedded software systems.
arXiv Detail & Related papers (2024-01-15T22:13:48Z) - The Executable Digital Twin: merging the digital and the physics worlds [0.0]
Key building blocks such as model order reduction, real-time models, state estimation and co-simulation are reviewed.
These include virtual sensing, hybrid testing and hardware-in-the loop, model-based control and model-based diagnostics.
arXiv Detail & Related papers (2022-10-25T08:35:08Z) - A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty
Quantification and Optimization, a Battery Digital Twin, and Perspectives [11.241244950889886]
Second paper presents a literature review of key enabling technologies of digital twins.
Third paper presents a case study where a battery digital twin is constructed and tested to illustrate some of the modeling and twinning methods reviewed.
arXiv Detail & Related papers (2022-08-27T01:36:15Z) - A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning
Enabling Technologies [11.241244950889886]
Digital twin is an emerging technology in the era of Industry 4.0.
Digital twins can model the physical world as a group of interconnected digital models.
In part two of this review, the role of uncertainty quantification and optimization are discussed.
arXiv Detail & Related papers (2022-08-26T15:01:26Z) - Digital Twins: State of the Art Theory and Practice, Challenges, and
Open Research Questions [62.67593386796497]
This work explores the various DT features and current approaches, the shortcomings and reasons behind the delay in the implementation and adoption of digital twin.
The major reasons for this delay are the lack of a universal reference framework, domain dependence, security concerns of shared data, reliance of digital twin on other technologies, and lack of quantitative metrics.
arXiv Detail & Related papers (2020-11-02T19:08:49Z) - The DigitalTwin from an Artificial Intelligence Perspective [61.83230983253055]
A common and unique virtual representation used by all services during the whole system life-cycle is needed, i.e. a DigitalTwin.
This reference model is verified by using a running example from process industry and by analyzing the work done in recent projects.
arXiv Detail & Related papers (2020-10-27T15:40:36Z) - RoboTHOR: An Open Simulation-to-Real Embodied AI Platform [56.50243383294621]
We introduce RoboTHOR to democratize research in interactive and embodied visual AI.
We show there exists a significant gap between the performance of models trained in simulation when they are tested in both simulations and their carefully constructed physical analogs.
arXiv Detail & Related papers (2020-04-14T20:52:49Z) - The role of surrogate models in the development of digital twins of
dynamic systems [0.0]
Digital twin technology has significant promise, relevance and potential of widespread applicability.
Digital twins are expected to exploit data and computational methods.
We have explored the possibility of using surrogate models within the digital twin technology.
arXiv Detail & Related papers (2020-01-25T10:48:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.