机械工程中数字孪生的一个范例：理解模型混合化
An Exemplar of a Digital Twin in Mechanical Engineering: Understanding Model Hybridization
- Centre Inria d’Université Côte d’Azur（法国南部高地大学Inria中心）
- Université de Rennes/Inria/Irisa, team DiverSE（雷恩大学/Inria/Irisa，DiverSE团队）
- Université Côte d’Azur/I3S/Inria, team Kairos（法国南部高地大学/I3S/Inria，Kairos团队）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文通过CETIM流体回路数字孪生案例，提出并应用双维度表征框架显式记录模型混合化的动机与实现，以提升混合数字孪生工程的可复现性与可转移性。
AI中文摘要：
数字孪生（DTs）被广泛应用于各种应用领域。在工业部门，尤其是机械工程领域，它们加速产品开发、降低风险、实现早期问题预测并降低维护成本。在实践中，数字孪生越来越多地将基于物理（演绎）和数据驱动（归纳）的模型整合为混合模型，结合两种建模范式的互补优势。在本文中，我们将这种整合范式称为混合化。尽管存在这一趋势，混合数字孪生的工程实践仍未得到充分记录。混合化通常以临时方式引入，其实现仅部分明确，这限制了可复现性和可转移性。本文报告了在机械工业技术中心（CETIM）开发一个现有流体回路数字孪生的过程。该数字孪生使用Gil等人的表征框架进行描述，在其生命周期维度上提供了结构化视图。为了使混合化明确化，该案例进一步通过沿两个维度（动机和实现）构建的补充表征进行分析。所得描述提供了混合化决策的可追溯记录，并支持混合数字孪生工程实践的文档化和转移。
英文摘要：
Digital Twins (DTs) are widely adopted across a variety of application domains. In industrial sectors, particularly in mechanical engineering, they accelerate product development, reduce risks, enable early issue prediction, and lower sustainment costs . In practice, DTs increasingly integrate physics-based (deductive) and data-driven (inductive) models into hybrid models combining the complementary strengths of both modeling paradigms. In this paper, we refer to this integration paradigm as hybridization. Despite this trend, the engineering of hybrid DTs that is, remains insufficiently documented. Hybridization is often introduced in an ad hoc manner, and its implementation is only partially made explicit, which limits reproducibility and transferability. This paper reports on the development of an existing fluidic loop digital twin at Centre Technique des Industries M{é}canique (CETIM). The DT is described using the characterization framework of Gil et al., providing a structured view across its lifecycle dimensions. To make hybridization explicit, the case is further analyzed through a complementary characterization structured along two dimensions: motivation and realization. The resulting description provides a traceable account of hybridization decisions and supports the documentation and transfer of hybrid DT engineering practices.
