Measuring the fidelity of digital twin systems

Muñoz, Paula

doi:10.1145/3550356.3558516

Cited by 3 publications

(5 citation statements)

References 27 publications

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“…The fidelity of a digital twin represents the similarity per its physical twin based on both state and behaviour, analyzing the influence of abstraction and resolution [19]. Currently, state-based fidelities for models leading to vibration fatigue prediction given in Figure 2 are found as given in Table 5.…”

Section: /9 4 Results and Discussionmentioning

confidence: 99%

Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling

Kandaz,

Kaçar,

Gündoğar

et al. 2024

EMAS

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In this contribution, the simulation-based digital twin of a high-speed turbomachine, i.e. a fan with a nominal speed of 16500 rpm, that has been developed for the aerospace industry with multiple uses in various platforms, and the corresponding findings are presented. The relevant simulation-based digital twin is created by first running various multi-physics engineering simulations, i.e. computational solid mechanics, computational fluid dynamics, and low-frequency electromagnetic analyses with Ansys software. Subsequent dynamic reduced order models (ROM) are formed and integrated together to create the digital twin that are bidirectionally connected with the asset. The digital twin is also validated via experimental data that are obtained with various setups for several parameters read at discrete locations via sensors, based on fidelity comparisons both between experiments and simulations, and between simulations and ROMs. Several operational scenarios including those with stress tests are run and the asset is checked against fatigue and thermal requirements for the rotor-stator assembly and the motor circuit respectively. This is done with an inhouse program that incrementally reads time, temperature, and rotational speed data and in which the relevant fatigue and thermal criteria are defined. This program is also used to simulate and analyse what-if scenarios. It is seen that vibration fatigue dominates all possible sources of failure in most cases. As a novel aspect, the fatigue induced by starts and stops of the fan is expressed as equivalent operating hours (EOH) depending on time and temperature parameters of the corresponding scenarios, as opposed to be taken as a constant value for all scenarios. Using this novelty, it is also conceptually demonstrated that simulation-based digital twins can play a significant role in operation and maintenance (O&M) when combined with conventional data-driven predictive maintenance techniques, not only for O&M teams but also asset owners and original equipment manufacturers (OEMs) particularly with the use of what-if analyses. Approaches to simulation-based digital twins in context with multi-physics and ROM fidelity are also discussed based on several digital twin maturity models.

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Section: /9 4 Results and Discussionmentioning

confidence: 99%

Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling

Kandaz,

Kaçar,

Gündoğar

et al. 2024

EMAS

View full text Add to dashboard Cite

show abstract

“…This is quite a similar context to the initial objective of the metric. This metric has also been used for measuring DT fidelity 17 . Therefore, we adapt this metric in our context to measure DT fidelity.…”

Section: Discussionmentioning

confidence: 99%

“…This metric has also been used for measuring DT fidelity. 17 Therefore, we adapt this metric in our context to measure DT fidelity. Regarding the response time, we set the tolerance level of similarity to one second, implying that the maximum amount of difference between the DT and PD is still considered "similar" by the metric.…”

Section: Metrics and Statistical Testsmentioning

confidence: 99%

“…Some works focus on validating DTs 41 and assessing the fidelity of DTs. 15,17 Inspired by these works, we also evaluated the fidelity of DTs generated with our approach. A few studies were conducted to analyze techniques for constructing DTs, 63 the industrial lifecycle of DTs, 64 and virtual reality and gamification using DTs.…”

Section: Dt Generation and Operationmentioning

confidence: 99%

“…Some works focus on validating DTs 41 and assessing the fidelity of DTs 15,17 . Inspired by these works, we also evaluated the fidelity of DTs generated with our approach.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Sartaj,

Ali,

Yue

et al. 2024

Softw Pract Exp

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SummaryHealthcare applications with the Internet of Things (IoT) are often safety‐critical, thus, require extensive testing. Such applications are often connected to smart medical devices from various vendors. System‐level testing of such applications requires test infrastructures physically integrating medical devices, which is time and monetary‐wise expensive. Moreover, applications continuously evolve, for example, introducing new devices and users and updating software. Nevertheless, a test infrastructure enabling testing with a few devices is insufficient for testing healthcare IoT systems, hence compromising their dependability. In this paper, we propose a model‐based approach for the creation and operation of digital twins (DTs) of medicine dispensers as a replacement for physical devices to support the automated testing of IoT applications at scale. We evaluate our approach with an industrial IoT system with medicine dispensers in the context of Oslo City and its industrial partners, providing healthcare services to its residents. We study the fidelity of DTs in terms of their functional similarities with their physical counterparts: medicine dispensers. Results show that the DTs behave more than 92% similar to the physical medicine dispensers, providing a faithful replacement for the dispenser.

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Toward Industrial Metaverse: A High Fidelity Digital Twin for IIoT With Optimized Age-Accuracy Tradeoff

Itani,

Sharafeddine

2024

IEEE Access

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Measuring the fidelity of digital twin systems

Cited by 3 publications

References 27 publications

Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling

Simulation-based digital twin of a high-speed turbomachine (fan) used in avionics cooling

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Toward Industrial Metaverse: A High Fidelity Digital Twin for IIoT With Optimized Age-Accuracy Tradeoff

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