数字孪生 Digital Twin
Collections about Digital Twin research and applications
- [数字孪生 Digital Twin]
- [1.Research Areas and Papers (研究领域与相关论文)]
- [2.Policy, Report and White Paper (政策报告与白皮书)]
- [3.Scholars (著名学者)]
- [4.Thesis (硕博士论文)]
- [5.Applications (应用)]
1.Research Areas and Papers (研究领域与相关论文)
Theory and Survey
Digital Twin in Industry: State-of-the-Art, 2016
20190213 SHM-19 A comparative study on digital twin models
Summarize 21 digital models w.r.t. purpose of useage, model level, and model formalism
对比分析了21种数字孪生模型
Modeling
Manufacturing
Data-driven Digital Twin approach for process optimization: an industry use case, BigData2018
Dynamic Resource Allocation Optimization for Digital Twin-driven Smart Shopfloor, ICNSC2018
A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems, IEEE Access, 2021
Health Management and Fault Diagnosis
数字孪生技术综述与展望, 仪器仪表学报, 2018
刘大同教授在本篇论文中，以故障预测和健康管理（PHM）为视角，阐述了数字孪生的定义/技术体系/关键技术。六项关键技术包括：多领域多尺度融合建模/数据驱动与物理模型融合的状态评估/数据采集和传输/全寿命周期数据管理/VR呈现/高性能计算。为故障诊断领域研究者进行数字孪生方向探索理清了思路。
Digital twin driven prognostics and health management for complex equipment, 2018, CIRP Annals
陶飞教授在该文中提出了一种将DT用于复杂设备故障诊断的新思路。首先构建风机齿轮箱的虚拟（仿真）模型，并通过实验验证确保模型的可用性。通过数字孪生体（仿真模型）实时仿真出齿轮箱啮合处的形变和应力数据，将这些数据与传感器实际采集的振动数据一起，用于后续的机器学习分析，进行设备故障诊断。
Digital Twin for rotating machinery fault diagnosis in smart manufacturing, 2018, International Journal of Production Research
西储大学和**矿业大学合作，研究如何将数字孪生应用于滚动轴承的故障诊断。使用有限元建立了轴承动力学仿真，并将该模型与实物平台进行了验证。
Transfer Learning as an Enabler of the Intelligent Digital Twin
使用迁移学习作为数字孪生模型和数据驱动模型的桥梁，从数据驱动模型（深度学习）中学习故障诊断和异常检测知识，将其迁移到数字孪生模型中。不直接迁移到物理对象的行为中，而是先在数字孪生仿真模型中进行验证，以避免安全风险。
其定义的数字孪生模型包括asset’s digital models, e.g. CAD, ECAD, simulation models, software models and many more，将具备人工智能能力的数字孪生模型定义为智能数字孪生（intelligent digital twin），认为这是数字孪生的一个扩展。这样的界定非常清楚。
Data Super-Network Fault Prediction Model and Maintenance Strategy for Mechanical Product Based on Digital Twin
Digital Twin for Machining Tool Condition Prediction, 2019, CIRP Conference on Manufacturing Systems
Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM), 2019, IEEE International Conference on Systems, Man and Cybernetics (SMC)
讨论了DT在航空IVHM中的作用
Application of Digital Twin Concept in Condition Monitoring for DC-DC Converters, 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
DT在DC-DC转换电路中的应用，在软件中创建了实际电路的等效电路（具体软件未知），并对模型进行了实验验证，使用粒子群算法进行模型求解
On the Integration of SHM and Digital Twin for the Fatigue Assessment of Naval Surface Ships SHM-19
For novel ships, this paper proposed a method that uses strain gauge data coupled with a global finite element model and a fatigue damage assessment model to provide information pertinent to maintenance and life cycle decisions
针对海军舰艇，使用应变仪数据与全局有限元模型和疲劳损伤评估模型相结合，以提供维护和生命周期决策相关的信息
Digital Twin-driven online anomaly detection for an automation system based on edge intelligence, Journal of Manufacturing Systems, 2021
Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics, Annual Conference of the PHM Society, 2020
使用数值计算仿真模型获得轴承退化仿真数据，并使用迁移学习的DANN方法将其迁移至实际数据集上的剩余寿命预测问题
Validation & Verification
Simulation-based Verification with Experimentable Digital Twins in Virtual Testbeds, 2018
Visulization, BIM相关
2.Policy, Report and White Paper (政策报告与白皮书)
201910 数字孪生城市研究报告（2019年），**信息通信研究院 (http://www.caict.ac.cn/kxyj/qwfb/bps/201910/t20191011_219155.htm)
2019 数字孪生体技术白皮书，安世亚太科技股份公司数字孪生体实验室 (http://www.peraglobal.com/content/details_155_20653.html)
3.Scholars (著名学者)
- 陶飞，北京航空航天大学自动化科学与电气工程学院教授
国内数字孪生研究领军人物。提出了数字孪生五维模型，其团队在数字孪生方面的研究对推动国内数字孪生研究具有重要很高价值。代表文章：
- Make more digital twins, Nature, 2019
- 数字孪生车间信息物理融合理论与技术, 计算机集成制造系统，201708
- 数字孪生车间———一种未来车间运行新模式, 计算机集成制造系统, 201701
- 刘强, 广东工业大学教授。在数字孪生车间方面进行了一系列开拓性研究。代表文章：
- Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, 201903
- Digital twin-driven rapid individualized designing of automated flow-shop manufacturing system, 201805
- A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line, IEEE Access, 201710
4.Thesis (硕博士论文)
A Simulation-Based Digital Twin for Monitoring and Predictive Performance of a HVAC System in a Cleanroom Environment, 201812, Master