Real-time simulations of human tongue movements with a reduced order model of a non-linear dynamic biomechanical model

Calka, Maxime; Perrier, Pascal; Ohayon, Jacques; Boichon, Christelle; Rochette, Michel

doi:10.1080/10255842.2020.1812158

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…The applicability of FEM in DT is somewhat limited, but the Reduced Order Model (ROM) processing function may convert complicated 3D models into 1D models and lower the cost of hundreds of hours of computing time to millisecond level while maintaining the accuracy requirements. Literature [46] can be used to learn more about the precise implementation procedure and ROM general principles.…”

Section: ) Physical Spacementioning

confidence: 99%

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

et al. 2023

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In industry, accurate remaining useful life (RUL) prediction is critical in improving system reliability and reducing downtime and accident risk. Numerous data-driven RUL prediction approaches have been proposed and achieved impressive performance in RUL prediction. However, most of them are still faced with the dilemma of limited samples, and most of popular transfer learning and domain adaptive methods adopt single-source domain adaptation (DA), ignoring the domain-shift within source domain and failing to fully utilize the multi-condition data. This article proposes a model-data fusion life prediction method based on digital twin (DT) and multi-source regression adversarial domain adaptation (MRADA) to address the aforementioned issues. For data-driven life prediction model, the model-based DT technology among them offers a significant amount of multi-condition training data. The proposed MRADA fully utilizes the benefits of DT simulation data by using intra-group alignment strategy, inter-group alignment strategy, adversarial learning, and regressor alignment strategy to learn domain-invariant features and supervision from multiple sources. The experimental findings demonstrate that the proposed fusion life prediction method can successfully address the issue of small samples and improve the accuracy of rolling bearing life prediction results.INDEX TERMS Digital twin, domain adaptation, remaining useful life prediction, small sample size.

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Section: ) Physical Spacementioning

confidence: 99%

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

et al. 2023

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“…It takes advantage of ANSYS's simulation capability to enable the modelling of geometries, physical characteristics, real-world behaviours, and rules of physics. The Twin Builder software also integrates design tools for embedded control systems and Human-Machine Interface (HMI) to enable testing of the control aspect of DT models in an integrated workflow (Calka et al 2020).…”

Section: Virtual Modellingmentioning

confidence: 99%

Digital twins in the minerals industry – a comprehensive review

Qu,

Kizil,

Yahyaei

et al. 2023

Mining Technology: Transactions of the Institutions of Mining a

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Digital Twins (DT) have become popular in various industries to solve complex problems. A true DT allows for bidirectional real-time data flows between the physical and virtual worlds.The term DT was often overused, leading to confusion about its capabilities therefore this paper provides a review of the current state of DT and its applications in the minerals industry.Existing literature shows a slow adoption of DTs in the minerals industry, which is largely due to challenges associated with geological unpredictability, legacy system integration, cost, skill gaps, cybersecurity, and lack of standards.Combining immersive visualisation with real-time spatial computer graphics could improve the usability and acceptance of DTs in the minerals industry which has been used successfully in training while underexplored for operational scenarios. The study concludes by highlighting the need for further research to understand the effectiveness of such an approach in mineral operations.

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Model order reduction of a 3D biomechanical tongue model: a solution for real-time movement simulations to study speech motor control

Calka

Perrier

Grivot-Boichon

et al. 2023

Reduced Order Models for the Biomechanics of Living Organs

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Real-time simulations of human tongue movements with a reduced order model of a non-linear dynamic biomechanical model

Cited by 4 publications

References 4 publications

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method

Digital twins in the minerals industry – a comprehensive review

Model order reduction of a 3D biomechanical tongue model: a solution for real-time movement simulations to study speech motor control

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