168 lines
22 KiB
BibTeX
168 lines
22 KiB
BibTeX
This file was created with JabRef 2.1 beta 2.
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@inproceedings{2012The,
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title={The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles},
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author={ Glaessgen, E. and Stargel, D. },
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booktitle={Aiaa/asme/asce/ahs/asc Structures, Structural Dynamics ; Materials Conference Aiaa/asme/ahs Adaptive Structures Conference Aiaa},
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year={2012},
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abstract={Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation. Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements. To address the shortcomings of conventional approaches, a fundamental paradigm shift is needed. This paradigm shift, the Digital Twin, integrates ultra-high fidelity simulation with the vehicle's on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to mirror the life of its flying twin and enable unprecedented levels of safety and reliability.},
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}
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@article{2011Reengineering,
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title={Reengineering Aircraft Structural Life Prediction Using a Digital Twin},
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author={ Tuegel, E. J. and Ingraffea, A. R. and Eason, T. G. and Spottswood, S. M. },
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journal={International Journal of Aerospace Engineering},
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volume={2011},
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number={1687-5966},
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year={2011},
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abstract={Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented. The technical challenges to developing and deploying a Digital Twin are discussed in detail.},
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}
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@article{2017Digital,
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title={Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems},
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author={ Grieves, M. and Vickers, J. },
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journal={Springer International Publishing},
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year={2017},
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abstract={Systems do not simply pop into existence. They progress through lifecycle phases of creation, production, operations, and disposal. The issues leading to undesirable and unpredicted emergent behavior are set in place during the phases of creation and production and realized during the operational phase, with many of those problematic issues due to human interaction. We propose that the idea of the Digital Twin, which links the physical system with its virtual equivalent can mitigate these problematic issues. We describe the Digital Twin concept and its development, show how it applies across the product lifecycle in defining and understanding system behavior, and define tests to evaluate how we are progressing. We discuss how the Digital Twin relates to Systems Engineering and how it can address the human interactions that lead to "normal accidents." We address both Digital Twin obstacles and opportunities, such as system replication and front running. We finish with NASA's current work with the Digital Twin.},
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}
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@article{2020Integration,
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title={Integration of Digital Twin and Deep Learning in Cyber-Physical Systems: Towards Smart Manufacturing},
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author={ Lee, J. },
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volume={38},
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number={8},
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pages={901-910},
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year={2020},
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abstract={No abstract available.},
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}
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@article{2017The,
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title={The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0},
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author={ Uhlemann, H. J. and Lehmann, C. and Steinhilper, R. },
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journal={Procedia CIRP},
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volume={61},
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pages={335-340},
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year={2017},
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abstract={Concerning current approaches to planning of manufacturing processes, the acquisition of a sufficient data basis of the relevant process information and subsequent development of feasible layout options requires 74% of the overall time-consumption. However, the application of fully automated techniques within planning processes is not yet common practice. Deficits are to be observed in the course of the use of a fully automated data acquisition of the underlying process data, a key element of Industry 4.0, as well as the evaluation and quantification and analysis of the gathered data. As the majority of the planning operations are conducted manually, the lack of any theoretical evaluation renders a benchmarking of the results difficult. Current planning processes analyze the manually achieved results with the aid of simulation. Evaluation and quantification of the planning procedure are limited by complexity that defies manual controllability. Research is therefore required with regard to automated data acquisition and selection, as the near real-time evaluation and analysis of a highly complex production systems relies on a real-time generated database. The paper presents practically feasible approaches to a multi-modal data acquisition approach, its requirements and limitations. The further concept of the Digital Twin for a production process enables a coupling of the production system with its digital equivalent as a base for an optimization with a minimized delay between the time of data acquisition and the creation of the Digital Twin. Therefore a digital data acquisition approach is necessary. As a consequence a cyber-physical production system can be generated, that opens up powerful applications. To ensure a maximum concordance of the cyber-physical process with its real-life model a multimodal data acquisition and evaluation has to be conducted. The paper therefore presents a concept for the composition of a database and proposes guidelines for the implementation of the Digital Twin in production systems in small and medium-sized enterprises.},
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}
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@article{2017C2PS,
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title={C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems},
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author={ Alam, K. M. and Saddik, A El },
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journal={IEEE Access},
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volume={5},
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pages={2050-2062},
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year={2017},
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abstract={Cyber-physical system (CPS) is a new trend in the Internet-of-Things related research works, where physical systems act as the sensors to collect real-world information and communicate them to the computation modules (i.e. cyber layer), which further analyze and notify the findings to the corresponding physical systems through a feedback loop. Contemporary researchers recommend integrating cloud technologies in the CPS cyber layer to ensure the scalability of storage, computation, and cross domain communication capabilities. Though there exist a few descriptive models of the cloud-based CPS architecture, it is important to analytically describe the key CPS properties: computation, control, and communication. In this paper, we present a digital twin architecture reference model for the cloud-based CPS, C2PS, where we analytically describe the key properties of the C2PS. The model helps in identifying various degrees of basic and hybrid computation-interaction modes in this paradigm. We have designed C2PS smart interaction controller using a Bayesian belief network, so that the system dynamically considers current contexts. The composition of fuzzy rule base with the Bayes network further enables the system with reconfiguration capability. We also describe analytically, how C2PS subsystem communications can generate even more complex system-of-systems. Later, we present a telematics-based prototype driving assistance application for the vehicular domain of C2PS, VCPS, to demonstrate the efficacy of the architecture reference model.},
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}
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@inproceedings{2005Digital,
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title={Digital Twin Spark Ignition for Improved Fuel Economy and Emissions on Four Stroke Engines},
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author={ Ramtilak, A. and Joseph, A. and Sivakumar, G. and Bhat, S. S. },
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booktitle={SIAT 2005},
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year={2005},
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abstract={The Digital Twin Spark Ignition (DTS-i) is a concept developed specifically for small bore four stroke engines with two valves. Two spark plugs placed diametrically opposite to each other in the combustion chamber fire simultaneously igniting the charge. The benefit of this concept is improved fuel economy, better drivability, and reduced engine on a emissions. The concept has been successfully launched on two products namely 150 DTS-i and 180 DTS-i engine. The DTS-i concept helps the products meet the India 2005-emission standard without the use of secondary air injection and exhaust after treatment.},
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}
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@article{2014On,
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title={On the Effects of Modeling As-Manufactured Geometry: Toward Digital Twin},
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author={ Cerrone, A and Hochhalter, J and Heber, G and Ingraffea, A },
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journal={International Journal of Aerospace Engineering},
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volume={2014},
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year={2014},
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abstract={A simple, nonstandardized material test specimen, which fails along one of two different likely crack paths, is considered herein. The result of deviations in geometry on the order of tenths of a millimeter, this ambiguity in crack path motivates the consideration of as-manufactured component geometry in the design, assessment, and certification of structural systems. Herein, finite element models of as-manufactured specimens are generated and subsequently analyzed to resolve the crack-path ambiguity. The consequence and benefit of such a ???personalized??? methodology is the prediction of a crack path for each specimen based on its as-manufactured geometry, rather than a distribution of possible specimen geometries or nominal geometry. The consideration of as-manufactured characteristics is central to the Digital Twin concept. Therefore, this work is also intended to motivate its development.},
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}
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@article{2018Digital,
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title={Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison},
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author={ Qi, Q. and Tao, F. },
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journal={IEEE Access},
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pages={3585-3593},
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year={2018},
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abstract={With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.},
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}
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@article{Anwer2017Shaping,
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title={Shaping the digital twin for design and production engineering},
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author={Anwer and Nabil and Schleich and Benjamin and Mathieu and Luc and Wartzack and Sandro},
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journal={CIRP Annals},
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year={2017},
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abstract={The digitalization of manufacturing fuels the appl},
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}
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@article{陶飞2017Digital,
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title={Digital twin workshop:a new paradigm for future workshop},
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author={陶飞 and 张萌 and 程江峰 and 戚庆林},
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journal={Computer Integrated Manufacturing Systems},
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volume={23},
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number={第1期},
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year={2017},
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abstract={With the integration and extensive applications for new generation of information technologies(such as cloud computing,internet of things,big data,mobile internet,artificial intelligence)in manufacturing industry,a number of countries had put forward their national advanced manufacturing development strategies,such as Industry4.0in Germany,Industrial Internet and manufacturing system based on Cyber-Physical Systems(CPS)in USA,as well as Made in China 2025 and Internet Plus Manufacturing in China.Although each of these strategies was proposed under different circumstances,one of the common purposes of these strategies was to achieve the interconnection,interoperability between physical world and the information world of manufacturing and the intelligent operation of manufacturing.As one of bottlenecks to achieve this purpose,the communication and interaction between the physical world and the information world of manufacturing must be solved.To solve the problem,a novel concept of Digital Twin Workshop(DTW)based on digital twin was proposed.Complementary to the concept,the characteristics,architecture,system composition,operating mechanism and enabling key technologies were also elaborated and discussed respectively.On this basis,the theory and implementation of the communication and interaction between physical and information world of workshop based on workshop digital twin data were discussed.},
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}
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@inproceedings{2017Generating,
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title={Generating Digital Twin Models using Knowledge Graphs for Industrial Production Lines},
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author={ Banerjee, A. and Dalal, R. and Mittal, S. and Joshi, K. P. },
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booktitle={9th ACM Web Science Conference, Industrial Knowledge Graphs},
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year={2017},
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abstract={Digital Twin models are computerized clones of physical assets that can be used for in-depth analysis. Industrial production lines tend to have multiple sensors to generate near real-time status information for production. Industrial Internet of Things datasets are difficult to analyze and infer valuable insights such as points of failure, estimated overhead. etc. In this paper we introduce a simple way of formalizing knowledge as digital twin models coming from sensors in industrial production lines. We present a way on to extract and infer knowledge from large scale production line data, and enhance manufacturing process management with reasoning capabilities, by introducing a semantic query mechanism. Our system primarily utilizes a graph-based query language equivalent to conjunctive queries and has been enriched with inference rules.},
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}
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@article{Wagner2017The,
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title={The role of the Industry 4.0 Asset Administration Shell and the Digital Twin during the life cycle of a plant},
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author={Wagner and C and Grothoff and J and Epple and U and Drath and R and Malakuti and S},
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journal={IEEE Int C Emerg},
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year={2017},
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abstract={Industry 4.0 has come up with an impressive number of additional terms and definitions e.g. Asset Administration Shell or Digital Twin. Those terms stand for Industry 4.0 core paradigms, but their meaning is not harmonized even among experts. This is a source of misunderstanding and confusion. In this paper, the mentioned terms are discussed along the life cycle of a plant. A plant's life cycle comprises the whole process from its idea to its destruction. During the discussion of the terms not only the concepts, but also the visions of Industry 4.0 are clarified. Goal of this paper is not to define additional terms, but to explain and substantiate existing ones and to solve apparent contradictions. Additional outcome of the discussion are architectural recommendations for an upcoming Industry 4.0 architecture. Moreover, suggestions for device manufacturers, system integrators, plant owners and Industry 4.0 architects are given.},
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}
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@article{韩辉2019Digital,
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title={Digital Twin Service towards Smart Manufacturing},
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author={韩辉},
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journal={疾病监测},
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year={2019},
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abstract={<span style="font-family: 宋体;">参考译名:面向智能制造的</span><span style="background: white; color: rgb(51, 51, 51); font-family:;">"</span><span style="background: white; color: rgb(51, 51, 51); font-family: 宋体;">数字双胞胎</span><span style="background: white; color: rgb(51, 51, 51); font-family:;">"</span><span style="background: white; color: rgb(51, 51, 51); font-family: 宋体;">(</span><span style="background: white; color: rgb(51, 51, 51); font-family:;">Digital Twin</span><span style="background: white; color: rgb(51, 51, 51); font-family: 宋体;">)</span><span style="font-family: Calibri;">服务</span><span style="font-family: 宋体;"></span><span style="font-family: Calibri;">Digital twin provides an effective way for the cyber-physical integration of manufacturing. Meanwhile, smart manufacturing services could optimize the entire business processes and operation procedure of manufacturing, to achieve a new higher level of productivity. The combination of smart manufacturing services and digital twin would radically change product design, manufacturing, usage, MRO and other processes. Combined with the services, the digital twin will generate more reasonable manufacturing planning and precise production control to help achieve smart manufacturing, through the two-way connectivity between the virtual and physical worlds of manufacturing. This paper specifies and highlights how manufacturing services and digital twin are converged together and the various components of digital twin are used by manufacturers in the form of services.</span><span style="font-family: 宋体;">来源:【刊名】:</span><span style="font-family: Calibri;">Procedia CIRP</span><span style="font-family: 宋体;">【</span><span style="font-family: Calibri;">ISSN</span><span style="font-family: 宋体;">】:</span><span style="font-family: Calibri;">2212-8271</span><span style="font-family: 宋体;">【出版信息】:</span><span style="font-family: Calibri;">2018 Vol.72</span>},
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}
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@article{2022Validation,
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title={Validation of materials-informed digital twin: Mapping residual strains in HSLA steel weldment using high energy X-rays},
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author={ Fisher, Charles R. and Nygren, Kelly E. and Beaudoin, Armand J. },
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journal={Journal of manufacturing processes},
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number={74-Feb.},
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year={2022},
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}
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@article{2021SARS,
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title={SARS-CoV-2 Spread Forecast Dynamic Model Validation Thorough Digital Twin Approach, Catalonia Case Study},
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author={ Pau, Fic and Joan, Gis and GIC V铆Ctor and XP I Palom茅S},
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year={2021},
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}
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@article{2021Research,
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title={Research on Digital Twin Framework of Military Large-scale UAV Based on Cloud Computing},
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author={ Wang, Y. C. and Zhang, N. and Li, H. and Cao, J. },
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journal={Journal of Physics: Conference Series},
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volume={1738},
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number={1},
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pages={012052 (6pp)},
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year={2021},
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abstract={Firstly, this article explains the characteristics and advantages of military large-scale UAVs, and points out the three basic problems currently encountered by military large-scale UAVs; secondly, this article is based on the current design, manufacturing and application reality of large-scale military UAVs, analyzed the urgent need to build a cloud computing-based digital twin framework for military large-scale UAVs, and discussed in detail from the aspects of test cost, integrated perception, centralized control, business prediction, and mission planning; again, this article proposed cloud-based computing The digital twin framework for military large-scale UAVs discusses the composition and functions of each layer; finally, it points out the five directions and work priorities that need to be paid attention to in the construction of the digital twin system of military large-scale UAVs, including UAV model, flight status measurement, reliable propagation channel, intelligent command and control, and capability evaluation analysis.},
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}
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@article{2021Intelligent,
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title={Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin - ScienceDirect},
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author={ Zhou, H. and Yang, C. and Sun, Y. },
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journal={工程(英文)},
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year={2021},
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abstract={The shortage of computation methods and storage devices has largely limited the development of multiobjective optimization in industrial processes.To improve the operational levels of the process industries,we propose a multi-objective optimization framework based on cloud services and a cloud distribution system.Real-time data from manufacturing procedures are first temporarily stored in a local database,and then transferred to the relational database in the cloud.Next,a distribution system with elastic compute power is set up for the optimization framework.Finally,a multi-objective optimization model based on deep learning and an evolutionary algorithm is proposed to optimize several conflicting goals of the blast furnace ironmaking process.With the application of this optimization service in a cloud factory,iron production was found to increase by 83.91 td^(-1),the coke ratio decreased 13.50 kgt^(-1),and the silicon content decreased by an average of 0.047%.},
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}
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@misc{2021PRECISION,
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title={PRECISION TREATMENT WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY FOR OPTIMAL METABOLIC OUTCOMES},
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author={ Hadley, F. and Dunlap, T. A. and Poon, Tcy },
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year={2021},
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abstract={A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve the determined metabolic state to the functional metabolic state.},
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}
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