Journal articles: 'Hybrid Twins'

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Nespolo, Massimo. "Plesiotwinsversusdiperiodic twins." Acta Crystallographica Section A Foundations and Advances 74, no. 4 (July 1, 2018): 332–44. http://dx.doi.org/10.1107/s2053273318005351.

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Plesiotwins and diperiodic twins have in common the fact of being characterized by a low degree of lattice restoration. Plesiotwins differ from twins by the fact that the relative orientation of the individuals is obtained by a non-crystallographic rotation about the normal to the composition plane, whereas for twins this rotation is crystallographic, apart from possible small deviations coming from metric pseudosymmetries. In the case of plesiotwins, the low degree of lattice restoration comes from a large coincidence site lattice (CSL) in the composition plane. Diperiodic twins, instead, have a small CSL in the composition plane but the second plane of the same family contributing to the overall lattice restoration is too far away from the composition plane to be considered significant. It is shown that plesiotwins can occur as reflection twins if the composition plane is not parallel to the twin plane, and as rotation twins in the case of parallel hemitropy. Diperiodic twins can in principle occur in any category, but either the metric conditions to obtain a diperiodic twin are actually in contrast with the metric pseudosymmetry required for twinning or the result is actually a hybrid twin. This justifies why no confirmed examples of diperiodic twins are known to date.

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Pignatelli, Isabella, Massimo Nespolo, and Giovanni Ferraris. "A survey of hybrid twins in silicate minerals." European Journal of Mineralogy 23, no. 5 (December 1, 2011): 779–94. http://dx.doi.org/10.1127/0935-1221/2011/0023-2142.

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Ferraris, G., and M. Nespolo. "Hybrid twins in minerals." Acta Crystallographica Section A Foundations of Crystallography 64, a1 (August 23, 2008): C491. http://dx.doi.org/10.1107/s0108767308084213.

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Nespolo, Massimo, and Giovanni Ferraris. "A survey of hybrid twins in non-silicate minerals." European Journal of Mineralogy 21, no. 4 (August 31, 2009): 673–90. http://dx.doi.org/10.1127/0935-1221/2009/0021-1937.

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Marzouki, Mohamed Amine, Bernd Souvignier, and Massimo Nespolo. "The staurolite enigma solved." Acta Crystallographica Section A Foundations and Advances 70, no. 4 (May 17, 2014): 348–53. http://dx.doi.org/10.1107/s2053273314007335.

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Staurolite has been long considered an enigma because of its remarkable pseudosymmetry and the frequent twinning. Staurolite gives two twins whose occurrence frequency seems to contradict the condition of lattice restoration requested by the reticular theory of twinning, in that the more frequent one (Saint Andrews cross twin) has a twin index of 12, whereas the less frequent one (Greek cross twin) has a twin index of 6. The hybrid theory of twinning shows that the former is actually a hybrid twin with two concurrent sublattices and an effective twin index of 6.0. However, this is still not sufficient to explain the observed higher occurrence frequency of the Saint Andrews twin. The (pseudo)-eigensymmetry of the crystallographic orbits of staurolite has been analysed and it was found that the whole substructure built on anions is restored (with small deviations) by both twin laws, which explains why twinning is frequent in staurolite. On the other hand, 45% of the cation sites are quasi-restored in the Saint Andrews cross twin, against only 19% for the Greek cross twin: this difference finally explains the different occurrence frequencies of the two twins.

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Emir Isik, Gülbahar, and Henri Hubertus Achten. "OPERATIONALISING CONCEPTS OF DIGITAL TWINS ON DIFFERENT MATURITY LEVELS (FOETAL, CHILD, ADULT) FOR THE ARCHITECTURAL DESIGN PROCESS." Proceedings of the Design Society 3 (June 19, 2023): 2825–34. http://dx.doi.org/10.1017/pds.2023.283.

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AbstractA digital twin is the mapping of a physical twin between hybrid spaces. The lifecycle of digital and physical twins occurs through the concepts of foetal, child, and adult twins. This technology can be used to assist clients and designers with real-time data. The use of digital twin technology in architectural design can be realised at various stages, from design to operation. Designers will be able to gain knowledge of the past, present, and future using this technology. This will reveal possible design scenarios. In this study, a hypothetical scenario is designed, in which designers build a building while already having a digital twin template. To do this, Building Information Modelling (BIM) is used as a reference model for digital twins, along with the fidelity levels of digital twins and the level of detail-development of BIM. When designers want to design a new project related to their predecessors, they already use the same type of digital twin-building portfolio they can use for their new design. A digital twin will help optimise the new process. Therefore, the digital twin of a building with a similar building type can be used to extract relevant data for the design process.

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Yun, Seong-Jin, Jin-Woo Kwon, and Won-Tae Kim. "A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems." Sensors 22, no. 13 (June 24, 2022): 4774. http://dx.doi.org/10.3390/s22134774.

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Disaster management systems require accurate disaster monitoring and prediction services to reduce damages caused by natural disasters. Digital twins of natural environments can provide the services for the systems with physics-based and data-driven disaster models. However, the digital twins might generate erroneous disaster prediction due to the impracticability of defining high-fidelity physics-based models for complex natural disaster behavior and the dependency of data-driven models on the training dataset. This causes disaster management systems to inappropriately use disaster response resources, including medical personnel, rescue equipment and relief supplies, to ensure that it may increase the damages from the natural disasters. This study proposes a digital twin architecture to provide accurate disaster prediction services with a similarity-based hybrid modeling scheme. The hybrid modeling scheme creates a hybrid disaster model that compensates for the errors of physics-based prediction results with a data-driven error correction model to enhance the prediction accuracy. The similarity-based hybrid modeling scheme reduces errors from the data dependency of the hybrid model by constructing a training dataset using similarity assessments between the target disaster and the historical disasters. Evaluations in wildfire scenarios show that the digital twin decreases prediction errors by approximately 50% compared with those of the existing schemes.

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Nespolo, Massimo, and Giovanni Ferraris. "The derivation of twin laws in non-merohedric twins. Application to the analysis of hybrid twins." Acta Crystallographica Section A Foundations of Crystallography 62, no. 5 (August 23, 2006): 336–49. http://dx.doi.org/10.1107/s0108767306023774.

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Kluge, Michelle L., Evan Graber, Kathryn Foley, Lynnette V. Hansen, Heidi L. Sellers, Dragana Milosevic, Kendall W. Cradic, and Stefan K. Grebe. "Monozygotic twins discordant for congenital adrenal hyperplasia due to mosaicism." European Journal of Endocrinology 182, no. 2 (February 2020): K7—K13. http://dx.doi.org/10.1530/eje-19-0249.

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Introduction Genotype-phenotype discordance occurs occasionally in congenital adrenal hyperplasia (CAH). Its causes are largely unknown. We describe a case of monochorionic, diamniotic twins with discordant clinical presentations of CAH, and show evidence for this being due to mosaicism resulting from a postzygotic full gene deletion of CYP21A2 prior to twinning. Case description A 7-day-old 36-week gestation female infant (Twin A) presented to the emergency department with elevated 17-hydroxyprogesterone (17-OHP). Her identical twin (Twin B) had normal 17-OHP on newborn screening. Both twins showed signs of virilization, more pronounced in Twin B. Molecular genetic testing of both twins and their parents showed a WT paternally-inherited CYP21A2 and a maternally-inherited copy containing the c.293-13C>G mutation. Both twins were also found to have a 5′-CYP21A1P/CYP21A2-3′ hybrid (product of the common 30-kb deletion), derived from the deletion of the paternally-inherited CYP21A2. Neither mother nor father carried the deletion. Conclusions The genetic findings are consistent with mosaicism for two CYP21A2 cell lines in both twins. The first cell line is expected, based on parental results, while the second line is due to a postzygotic full gene deletion of the paternally-inherited WT CYP21A2. The resultant genotype, compound heterozygosity for c.293-13C>G and a CYP21A2 full gene deletion, is consistent with a salt-wasting CAH phenotype. Differential distribution of the second cell line between the twins is most likely the cause for their discrepant phenotypes. We believe this is the first report of somatic CYP21A2 mosaicism, and represents a novel cause for discrepant CAH phenotypes in monozygotic twins.

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Torregrosa, Sergio, Victor Champaney, Amine Ammar, Vincent Herbert, and Francisco Chinesta. "Hybrid twins based on optimal transport." Computers & Mathematics with Applications 127 (December 2022): 12–24. http://dx.doi.org/10.1016/j.camwa.2022.09.026.

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Timofeev, G. A. "Searching for an Appropriate Architecture for the Development of Digital Twins for Hybrid Energy Systems in Isolated Environments Using the TRIZ Evolutionary Approach." Vestnik NSU. Series: Information Technologies 20, no. 4 (June 13, 2023): 76–99. http://dx.doi.org/10.25205/1818-7900-2022-20-4-76-99.

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This work is devoted to the study of the architecture of digital twins. Of course, it is inevitable that the technology of creating digital twins, borrowed from engineering, realizing specific turnovers, such as the need for massive costly software tools and highly qualified personnel, is clearly visible in the few examples of digital dual power systems. There is a lack of unambiguously interpreted data values in standard machine-readable formats, adequate mathematical models, and instrumentation. The article proposed approaches to overcome the shortcomings in the design and operation of digital twin systems.

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Lei, Huang, Zhou Fanli, Wang Wei, Shang Shuai, and Zhou Haocheng. "Digital twin method and application practice of spacecraft system driven by mechanism data." Digital Twin 4 (March 8, 2024): 2. http://dx.doi.org/10.12688/digitaltwin.17913.1.

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Spacecrafts are large-scale systems characterized by various on-orbit configurations, multi-disciplinary coupling, and complex mission modes. Research and exploration on the data-driven spacecraft digital twins development methods must be carried out to satisfy various requirements such as spacecraft on-orbit condition monitoring and risk warning, fast flight conditions predictions, intelligent failure location, and virtual verification of failure. In this paper, significant progress is made in multiple key technologies, such as cyber-physical system modeling and simulation, hybrid modeling and model evolution through mechanism-data fusion, and interactive virtual-reality perception and mapping. The spacecraft digital twins’ model is constructed, and the spacecraft digital twin’s platform is designed and developed. Multiple digital twins’ application scenarios, such as on-orbit mission simulation and emulation, real-time interactive monitoring, and fast operating condition prediction, are supported. The research results are applied to the key on-orbit operation tasks, such as entering orbit, rendezvous and docking, position conversion, and astronaut exiting, enabling system-level digital operation for the sub-systems of spacecraft such as energy, power, control, and communication sub-systems.

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Kaznacheeva, Nadezhda, Aleksey Poletaykin, Lyubov' Danilova Filippovna, and Sergey Gennadievich Sinitsa. "HYBRID MODEL FOR CONSTRUCTING INDIVIDUAL EDUCATIONAL TRAJECTORY BASED ON DIGITAL TWINS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 4 (October 29, 2021): 126–36. http://dx.doi.org/10.24143/2072-9502-2021-4-126-136.

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The article focuses on building an individual educational trajectory of a university student. This concept is formalized in the form of a hybrid mathematical model. This model is based on a structural model of educational competence. In this case, the competence is a basic construct of the educational program, it acts as a prototype of the structural model of individualized educational content. The main source of semantic and control information is the digital twin sys-tem. The digital double of the educational program formalizes its structure and content in strict ac-cordance with the regulatory requirements of federal state educational standards. The digital twin of a student fixes and processes his digital tracks throughout his life. The digital twin of the labor market formalizes the structure of a certain segment of the labor market in the context of the re-quirements for professional and personal qualities of specialists. There has been substantiated the need for proactive management of restructuring and rebranding the professional educational pro-grams in accordance with the changes at the labor market. A significant contribution to the man-agement of these evolutionary processes is made by the dynamics of a student’s activity, which is reflected in his digital traces. Hybridization of these digital twins into the system of constructing individual educational trajectory allows the semantic marking and weighing of the educational situation and projected content. Based on a suspended educational content and taking into account the regulatory requirements of educational standards and additional requirements of the educational organization, optimization modeling of an individual educational trajectory in its structural and meaningful context is carried out. The study of the structural features of the constructed hybrid mathematical model made it possible to determine and substantiate its rational structure.

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Fett, Michel, Marcel Kraft, Fabian Wilking, Stefan Goetz, Sandro Wartzack, and Eckhard Kirchner. "Medium-Level Architectures for Digital Twins: Bridging Conceptual Reference Architectures to Practical Implementation in Cloud, Edge and Cloud–Edge Deployments." Electronics 13, no. 7 (April 5, 2024): 1373. http://dx.doi.org/10.3390/electronics13071373.

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The integration of Digital Twins (DTs) is becoming increasingly important in various industries. This entails the need for a comprehensive and practical IT infrastructure framework. This paper presents a modifiable medium-level architecture that serves as a link between established reference architectures such as RAMI 4.0 and the pragmatic implementation of Digital Twins. The functionalities of an IT infrastructure are considered, and functional hardware and software components for fulfilling these are described. The proposed architecture is suitable for various deployment scenarios, including local, cloud and hybrid cloud–edge configurations. In order to improve the applicability of the medium-level architecture, a step-by-step procedure is also proposed, which helps to transfer the overarching requirements for a Digital Twin into a suitable IT infrastructure. Finally, the results are demonstrated by an exemplary application to a two-stage industrial gearbox.

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Peng, Chao-Chung, and Yi-Ho Chen. "A Hybrid Neural Ordinary Differential Equation Based Digital Twin Modeling and Online Diagnosis for an Industrial Cooling Fan." Future Internet 15, no. 9 (September 4, 2023): 302. http://dx.doi.org/10.3390/fi15090302.

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Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provide real-time data analysis during operation, which can monitor the condition of the system and prognose the failure. This allows manufacturers to resolve the problem before it happens. However, most digital twins are constructed using discrete-time models, which are not able to describe the dynamics of the system across different sampling frequencies. In addition, the high computational complexity due to significant memory storage and large model sizes makes digital twins challenging for online diagnosis. To overcome these issues, this paper proposes a novel structure for creating the digital twins of cooling fan systems by combining with neural ordinary differential equations and physical dynamical differential equations. Evaluated using the simulation data, the proposed structure not only shows accurate modeling results compared to other digital twins methods but also requires fewer parameters and smaller model sizes. The proposed approach has also been demonstrated using experimental data and is robust in terms of measurement noise, and it has proven to be an effective solution for online diagnosis in the intelligent manufacturing process.

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Sun, Heng, and Zhe Liu. "Research on Intelligent Dispatching System Management Platform for Construction Projects Based on Digital Twin and BIM Technology." Advances in Civil Engineering 2022 (January 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/8273451.

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Building Information Modeling (BIM) adoption along with the recent emergence of Internet of Things (IoT) applications provides many unique knowledge and decision-making abilities all through the built environment’s life cycle. The ability to connect online sensors utilized in surroundings in real time has led to the definition of the Digital Twin (DT) of the Building Design. The goal of Digital Twins is to synchronize the physical world with a virtual platform for seamless management and control of the construction process, infrastructure solutions, environmental monitoring, and other life span processes within building design. Most of the researchers focused on either BIM or DT in the construction of building application. In this research work, a novel hybrid model of Digital Twin-Building Information Modeling (DT-BIM) is proposed. This model does the process of identifying the shortage of resources, analyzing requirement, performing decision, dispatching the resources, and updating all the process in the database with the support of Artificial Intelligence (AI). Hence, this hybrid model provides improved results when compared to the implementation of the individual technology to the same application. The study results revealed that these hybrid technologies help in assisting the dispatch systems in the construction projects to a greater extent.

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Pawar, Suraj, Shady E. Ahmed, Omer San, and Adil Rasheed. "Hybrid analysis and modeling for next generation of digital twins." Journal of Physics: Conference Series 2018, no. 1 (September 1, 2021): 012031. http://dx.doi.org/10.1088/1742-6596/2018/1/012031.

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Sommer, Lutz. "Digital twin modeling: A comparison of current approaches." Open Research Europe 4 (March 20, 2024): 56. http://dx.doi.org/10.12688/openreseurope.16728.1.

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Background The implementation of digital twins is of growing importance due to increasing interest. Various procedural models are used or are currently being developed in theory and practice. However, there is no generally accepted model. The aim of the present study is to record and analyze existing models and from the perspective of deriving development trends. Method In the first step, a systematic literature search is carried out; in the second step, the results are subjected to a comparative analysis. Results The study provides an overview of common process models for implementing Digital Twins. Fifteen approaches were selected for a detailed analysis. 1/3 are hybrid process models (i.e. a combination of several models), sequential and evolutionary models still dominate, and the phase length is between 5 – 10 phases. In other words, the majority of the existing process models analysed surprisingly follow a more sequential approach. Discussion Process models with a sequential character - with and without accompanying project management - dominate, but hybrid approaches are increasing in importance: (a) on the one hand as an integrated project management component, i.e. a combination of agile and classic project management, since these meet the digital twin requirements in terms of hardware (= rather classic approach), software (= more agile approach) and data management; (b) on the other hand, the merging or mutual supplementation of existing data science approaches - such as data mining with CRISP-DM - with the above project management approaches is to be expected.

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Krupitzer, Christian, Tanja Noack, and Christine Borsum. "Digital Food Twins Combining Data Science and Food Science: System Model, Applications, and Challenges." Processes 10, no. 9 (September 5, 2022): 1781. http://dx.doi.org/10.3390/pr10091781.

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The production of food is highly complex due to the various chemo-physical and biological processes that must be controlled for transforming ingredients into final products. Further, production processes must be adapted to the variability of the ingredients, e.g., due to seasonal fluctuations of raw material quality. Digital twins are known from Industry 4.0 as a method to model, simulate, and optimize processes. In this vision paper, we describe the concept of a digital food twin. Due to the variability of the raw materials, such a digital twin has to take into account not only the processing steps but also the chemical, physical, or microbiological properties that change the food independently from the processing. We propose a hybrid modeling approach, which integrates the traditional approach of food process modeling and simulation of the bio-chemical and physical properties with a data-driven approach based on the application of machine learning. This work presents a conceptual framework for our digital twin concept based on explainable artificial intelligence and wearable technology. We discuss the potential in four case studies and derive open research challenges.

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Ajam, Ismael K., Thamer R. S. . Al-Jubouri, and Qayssar H. Ghayyib. "TGF-B Super Family Correlation with the Fertility of Iraqi Awassi Ewes." Basrah Journal of Agricultural Sciences 32 (September 4, 2019): 26–32. http://dx.doi.org/10.37077/25200860.2019.137.

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This study was conducted in Barakat Abu al Fadhl Al- Abbas station (AS) for raising sheep/a subsidiary of Al- Kafeel Company for General Investment and livestock services in Holy Karbala province and Babylon Province It was undertaken on Awassi sheep for between October, 2013 to May, 2014 to investigate the polymorphism of TGF-B gene and its association with reproductive traits of Awassi sheep. Blood samples were collected from (80) ewes included 35 samples of Awassi ewes producing twins (pure breed), 21 samples of Awassi ewes producing twins lambs (hybrid breed), also 25 samples of Awassi ewes producing single lambs (pure breed), with age (2 .5- 5) years. DNA samples were extracted from each blood sample of sheep. Reference PCR primers were utilized to amplify segments in TGF-B Super Family gene. Then, AFLP technique was performed for each PCR fragment. The results indicated that two genotypes for each of the fragments of TGF-B Super Family gene (AF and FF) were identified. TGF-B Super Family gene revealed two fragments (156 and 245 bp) for FF genotypes and three fragments (156, 254 and 410 bp) for AF genotypes. PCR- AFLP methods detected two genotypes (AF and FF) with predominant of AF genotype in Awassi ewes producing twin, and this study refers to utilizing TGF-B gene as good genetic markers and their correlation with high fertility and twins producing Awassi sheep.

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Olszewska, Dorota, and Paweł Nowaczyk. "DOUBLE HAPLOIDS FROM TWO-EMBRYONIC SEEDS OF PEPPER (Capsicum annuum L.)F1 HYBRID." Acta Scientiarum Polonorum Hortorum Cultus 20, no. 3 (June 30, 2021): 45–52. http://dx.doi.org/10.24326/asphc.2021.3.5.

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The results of the investigation proved the gametophytic origin of diploids derived from two-embryonic seeds of pepper C. annuum L. hybrid. During the germination of seeds harvested from the red fruited hybrid (C. annuum L. ATZ × C. annuum L.`Sono`) F1, additional embryos have been found. Four of diploid twins F2 generation were different in their phenotype within the pair and/or from the F1 mother plant. Plants of three pairs: 1A-1B, 2A-2B, 4A-4B were significantly different with regard to the average fruit weight, length and seeds number. Yellow colour of ripe fruit was characteristic for 2A, 3A and 3B plants. In RAPD molecular analysis, twenty-three primers were used and six of them enabled polymorphic products to be obtained in reactions. The results of the analysis confirmed phenotypic differentiation of the twins and their parental forms. The phenotypic and molecular analyses proved that spontaneous diploids from a two-embryonic seeds are ready for the production of genetically stable, sexual progeny.

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Barimah, Atuahene. "Design Of Digital Twins for In-Service Support and Maintenance." PHM Society European Conference 8, no. 1 (June 27, 2024): 4. http://dx.doi.org/10.36001/phme.2024.v8i1.3969.

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This research aims to examine the challenges in developing Prognostics and Health Management (PHM) analytics for Digital Twin (DT) use cases in industrial applications, with a particular focus on Multi-Component Degradation (MCD) scenarios. A hybrid methodology, integrating physics-informed and data-driven models, is employed, using limited asset degradation data for model development. Preliminary work includes an analysis of the impact of data quality on Fault Detection and Isolation (FDI) algorithm performance, as well as the proposal of a weighted ensemble hybrid approach for assets experiencing MCD scenarios Preliminary results indicate enhanced diagnostics in asset health management through the use of Physics-Informed models for FDI in MCD scenarios with limited prior degradation data. Expected contributions for this research are the development of physics-informed PHM analytics for DT applications in MCD scenarios, adaptive PHM analytics for evolving asset lifecycles in DT applications, and interpretable DT model analytics for PHM in systems facing Multi-Component Degradation.

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Sokolov, Michael, Moritz von Stosch, Harini Narayanan, Fabian Feidl, and Alessandro Butté. "Hybrid modeling — a key enabler towards realizing digital twins in biopharma?" Current Opinion in Chemical Engineering 34 (December 2021): 100715. http://dx.doi.org/10.1016/j.coche.2021.100715.

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Traini, Emiliano, Gabriel Antal, Giulia Bruno, Manuela De Maddis, Franco Lombardi, Luigi Panza, and Pasquale Russo Spena. "Hybrid knowledge based system supporting Digital Twins in the Industry 5.0." Procedia Computer Science 232 (2024): 1471–80. http://dx.doi.org/10.1016/j.procs.2024.01.145.

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Velazquez, Alejandro, Fernando Martell, Irma Y. Sanchez, and Carlos A. Paredes. "Cyberphysical System Modeled with Complex Networks and Hybrid Automata to Diagnose Multiple and Concurrent Faults in Manufacturing Systems." Applied Sciences 13, no. 19 (September 22, 2023): 10603. http://dx.doi.org/10.3390/app131910603.

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Cyber–physical systems use digital twins to provide advanced monitoring and control functions, including self-diagnosis. The digital twin is often conceptualized as a 3D model, but mathematical models implemented in numerical simulations are required to reproduce the dynamical and functional characteristics of physical systems. In this work, a cyber–physical system scheme is proposed to monitor and diagnose failures. The virtual system, embedded at the supervisory control level, combines concepts from complex networks and hybrid automata to detect failures in the hardware components and in the execution of the sequential logic control. An automated storage and retrieval system is presented as a case study to show the applicability of the proposed scheme. The functional test and the obtained results validate the implemented system that is shown to be capable of fault diagnosis and location in real time. The online execution of the digital twin present several advantages for diagnosing multiple concurrent failures in sensors, actuators, and the control unit. This approach can be incorporate into diverse manufacturing systems.

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Lv, Zhihan, Dongliang Chen, Hailin Feng, Wei Wei, and Haibin Lv. "Artificial Intelligence in Underwater Digital Twins Sensor Networks." ACM Transactions on Sensor Networks 18, no. 3 (August 31, 2022): 1–27. http://dx.doi.org/10.1145/3519301.

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The particularity of the marine underwater environment has brought many challenges to the development of underwater sensor networks (UWSNs) . This research realized the effective monitoring of targets by UWSNs and achieved higher quality of service in various applications such as communication, monitoring, and data transmission in the marine environment. After analysis of the architecture, the marine integrated communication network system (MICN system) is constructed based on the maritime wireless Mesh network (MWMN) by combining with the UWSNs. A distributed hybrid fish swarm optimization algorithm (FSOA) based on mobility of underwater environment and artificial fish swarm (AFS) theory is proposed in response to the actual needs of UWSNs. The proposed FSOA algorithm makes full use of the perceptual communication of sensor nodes and lets the sensor nodes share the information covered by each other as much as possible, enhancing the global search ability. In addition, a reliable transmission protocol NC-HARQ is put forward based on the combination of network coding (NC) and hybrid automatic repeat request (HARQ) . In this work, three sets of experiments are performed in an area of 200 × 200 × 200 m. The simulation results show that the FSOA algorithm can fully cover the events, effectively avoid the blind movement of nodes, and ensure consistent distribution density of nodes and events. The NC-HARQ protocol proposed uses relay nodes for retransmission, and the probability of successful retransmission is much higher than that of the source node. At a distance of more than 2,000 m, the successful delivery rate of data packets is as high as 99.6%. Based on the MICN system, the intelligent ship constructed with the digital twins framework can provide effective ship operating state prediction information. In summary, this study is of great value for improving the overall performance of UWSNs and advancing the monitoring of marine data information.

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Guo, M. L. T., Chi Y. A. Tsao, J. C. Huang, and Jason S. C. Jang. "Microstructure Characteristics of Spray-Formed and Melt-Spun Al85Nd5Ni10 and Al89La6Ni5 Bulk Hybrid Composites." Key Engineering Materials 351 (October 2007): 1–6. http://dx.doi.org/10.4028/www.scientific.net/kem.351.1.

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The microstructure characteristics of the spray-formed and melt-spun Al85Nd5Ni10 and Al89La6Ni5 alloys were studied. The spray forming process was demonstrated to produce a bulk scale hybrid composite consisting of amorphous and nanostructured phases directly without the need of an amorphous precursor. The spray-formed Al89La6Ni5 deposit (~1 mm in thickness) were partially amorphous, and the amorphous phase came from the undercooled liquid droplets upon deposition. The as-spray-formed Al85Nd5Ni10 deposit (~20 mm in thickness) was completely crystallized due to the devitrification of the retained amorphous phase to nano-scale secondary crystals upon deposition. Primary crystals (~1 μm) are dispersed uniformly in the bulk spray-formed amorphous/or partial amorphous composites and many distinctive deformation twins also are observed in the crystals, however, not twins found in the corresponding completely devitrified ribbon. This is mainly because of the stirring and impacting force offered by high velocity droplets during spray forming and the mismatch of thermal expansion coefficient between primary crystals and adjacent amorphous matrix.

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Mora-Ortiz, Marina, Hajir Ibraheim, Sherine Hermangild Kottoor, Ruth C. E. Bowyer, Sarah Metrustry, Jeremy Sanderson, Nicholas Powell, Tim D. Spector, Kerrin S. Small, and Claire J. Steves. "Introducing ExHiBITT – Exploring Host microBIome inTeractions in Twins –, a colon multiomic cohort study." Wellcome Open Research 5 (February 13, 2020): 30. http://dx.doi.org/10.12688/wellcomeopenres.15632.1.

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Background: The colon is populated by approximately 1012 microorganisms, but the relationships between this microbiome and the host health status are still not completely understood. Here, our objective is to present the cohort characteristics of ExHiBITT – Exploring Host microBIome inTeractions in Twins – including i) biomedical phenotypes, ii) environmental factors and ii) colonoscopic findings. Methods: Participants from the TwinsUK cohort were recruited to study the interactions between the microbiome and host adaptive immunity. In total, 205 monozygotic twins were recruited from the wider TwinsUK cohort. They completed health questionnaires, and provided saliva, blood, colon biopsies from three different locations, caecal fluid, and two faecal samples. Results: A significant proportion of this apparently normal cohort had colonic polyps (28%), which are of interest as potential precursors of colorectal cancer, and, as expected, the number of polyps found was significantly correlated with BMI and age. Hitherto undiagnosed diverticulosis was also not infrequently found during colonoscopy (26%) and was associated with changes in Hybrid Th1-17 cells in the colon. Twin proband co-occurrence rate for diverticulosis (82%) was much higher than for polyps (42%). Familial factors affecting morphology or tolerance may contribute to the ease of endoscopy, as both the time to reach the caecum and pain perceived were highly concordant (proband concordance: 85% and 56%, respectively). Conclusions: We found the expected positive relationship between BMI and colonoscopic anomalies such as diverticular disease and polyps in the whole population, but within twin pairs this association was reversed. This suggests that familial factors confound these associations. Host and microbial next generation sequencing and metabolomics of the samples collected are planned in this cohort.

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Gálvez, Antonio, Jokin Rubio, Dammika Seneviratne, Asier Gonzalez, Alberto Jimenez, Unai Martinez-de-Estarrona, Diego Galar, and Esko Juuso. "Hybrid Models and Digital Twins for Condition Monitoring: HVAC System for Railway." SNE Simulation Notes Europe 31, no. 3 (2021): 121–26. http://dx.doi.org/10.11128/sne.31.tn.10572.

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Kohn, Oliver, Julius Frenzel, Erkut Sarikaya, and Matthias Weigold. "Virtuelle Prozesssimulation einer CNC-Maschine/Virtual process simulation of a CNC machine – Digital twin for stress-based payment models." wt Werkstattstechnik online 113, no. 01-02 (2023): 24–28. http://dx.doi.org/10.37544/1436-4980-2023-01-02-28.

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Innovative Ansätze bei der Prozessplanung und -optimierung mittels digitaler Zwillinge erfordern leistungsfähige Simulationen für Werkzeugmaschinen. Die Entwicklung einer solchen Simulation für ein 3-Achs-Vertikal-Bearbeitungszentrum wird hier als hybride Multi-Domain-Simulation in „Modelica“ implementiert und experimentell validiert. Dabei ist das Ziel die berechneten Kenngrößen im Kontext aktueller Entwicklungen, wie zum Beispiel belastungsorientierter Bezahlmodelle bereitzustellen. Innovative approaches to process planning and optimization using digital twins require powerful simulations for machine tools. The development of such a simulation for a 3-axis vertical machining center is presented here. The hybrid multi-domain simulation is implemented in ‚Modelica‘ and validated experimentally. The aim is to provide the calculated parameters in the context of current developments such as load-oriented payment models.

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Stadtmann, Florian, and Adil Rasheed. "Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins." Journal of Physics: Conference Series 2767, no. 5 (June 1, 2024): 052031. http://dx.doi.org/10.1088/1742-6596/2767/5/052031.

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Abstract Real-time capable models are paramount for the successful adaptation of digital twin technology into industries such as wind energy, but high-fidelity physics-based models cannot achieve the required speed, while data-driven and hybrid methods require large amounts of training data which is typically confidential. In this work, the combination of federated learning with hybrid modeling is proposed to train fast and reliable models across multiple confidential data sets owned by different stakeholders. The approach is demonstrated on physics-guided neural networks to estimate the lift and drag of wind turbine airfoils. A scenario is devised where multiple confidential data subsets are confined to different client devices. It is shown that the physics-guided neural networks can be trained through federated learning across those devices and data subsets and that the resulting models can recover and even surpass the accuracy of a model that is trained conventionally by merging the data subsets on a single device. The presented approach is highly scalable and can be easily adapted to many other applications. This work also discusses federated unlearning methods, which allow data owners to remove all traces of a data subset used in training if they decide to revoke their contribution.

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RAUCH, Lukasz, and Maciej PIETRZYK. "DIGITAL TWINS AS A MODERN APPROACH TO DESIGN OF INDUSTRIAL PROCESSES." Journal of Machine Engineering 19, no. 1 (February 20, 2019): 86–97. http://dx.doi.org/10.5604/01.3001.0013.0456.

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The objective of the paper was to describe the concept of a virtual, digital equivalent to a physical process. The basic idea of the virtual counterpart for the process called a digital twin is described first. Following this the hybrid computer system dedicated to the design of the optimal manufacturing technology for thin steel strips is presented. The models used in the system and the database are described. Numerical tests showing capabilities of the system recapitulate the work. 1.

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Jacoby, Michael, Branislav Jovicic, Ljiljana Stojanovic, and Nenad Stojanović. "An Approach for Realizing Hybrid Digital Twins Using Asset Administration Shells and Apache StreamPipes." Information 12, no. 6 (May 21, 2021): 217. http://dx.doi.org/10.3390/info12060217.

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Digital twins (DTs) are digital representations of assets, capturing their attributes and behavior. They are one of the cornerstones of Industry 4.0. Current DT standards are still under development, and so far, they typically allow for representing DTs only by attributes. Yet, knowledge about the behavior of assets is essential to properly control and interact with them, especially in the context of industrial production. This behavior is typically represented by multiple different models, making integration and orchestration within a DT difficult to manage. In this paper, we propose a new approach for hybrid DTs by intertwining different DT models. We also show how to realize this approach by combining the Fraunhofer Asset Administration Shell (AAS) Tools for Digital Twins (FAST) to create Industry 4.0-compliant DTs with Apache StreamPipes to implement and manage multiple DT models. Our prototype implementation is limited to a subset of the AAS metamodel and pull-based communication between FAST and an external Apache StreamPipes instance. Future work should provide full support for the AAS metamodel, publish/subscribe-based communication, and other execution environments as well as deployment strategies. We also present how this approach has been applied to a real-world use case in the steel production industry.

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Adams, Matt, Xiao Li, Lucas Boucinha, Sameer S. Kher, Prith Banerjee, and Jose-Luis Gonzalez. "Hybrid Digital Twins: A Primer on Combining Physics-Based and Data Analytics Approaches." IEEE Software 39, no. 2 (March 2022): 47–52. http://dx.doi.org/10.1109/ms.2021.3134042.

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Mkrttchian, Vardan, and Viacheslav Voronin. "Digitalization of Lifecycle Management of Domestic Russian Tour Products Based on Problem-Oriented Digital Twins-Avatars, Supply Chain, 3D-Hybrid, Federated, and Coordinated Blockchain." International Journal of Digital Strategy, Governance, and Business Transformation 11, no. 1 (January 1, 2021): 1–13. http://dx.doi.org/10.4018/ijdsgbt.20210101.oa2.

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The Article fits into a moment of operational uncertainty and theoretical redevelopment of the nature of tourism in a society marked by geopolitical turmoil and declining international security, as well as rapid changes at the global level, including the pandemic, which is currently posing new challenges for the sector. Today, it is more relevant and appropriate than ever to reflect on them, with the new, digital energy of blockchain technology, using a fundamental approach to digitalizing the decentralized lifecycle management of the domestic Russian tour product with problem-oriented digital twin avatars, supply chain, volumetric hybrid and federated-consistent blockchain. The goal of the article is theoretical study and practical implementation, in the form of basic models and software modules, artificial intelligence algorithms in managing the life cycle of an internal Russian tour product use Laboratory for digitalization and management, using multi-agent models of intelligent digital twins-avatars, is being created, the purpose of these studies is to solve a scientific problem.

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Li, Jia Jie, Armen Sedrakian, and Mark Alford. "Hybrid Star Models in the Light of New Multimessenger Data." Astrophysical Journal 967, no. 2 (May 23, 2024): 116. http://dx.doi.org/10.3847/1538-4357/ad4295.

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Abstract Recent astrophysical mass inferences of compact stars HESS J1731-347 and PSR J0952-0607, with extremely small and large masses respectively, as well as the measurement of the neutron skin of Ca in the CREX experiment challenge and constrain the models of dense matter. We examine the concept of hybrid stars—objects containing quark cores surrounded by nucleonic envelopes—as models that account for these new data along with other inferences. We employ a family of 81 nucleonic equations of state (EOSs) with variable skewness and slope of symmetry energy at saturation density and a constant speed-of-sound EOS for quark matter. For each nucleonic EOS, a family of hybrid EOSs is generated by varying the transition density, the energy jump, and the speed of sound. These models are tested against the data from GW170817 and J1731-347, which favor low-density soft EOS and J0592-0607 and J0740+6620, which require high-density stiff EOS. The addition of J0592-0607's mass measurement to the constraints has no significant impact on the parameter space of the admissible EOS, but allows us to explore the potential effect of pulsars more massive than J0740+6620, if such exists. We then examine the occurrence of twin configurations and quantify the ranges of masses and radii that they can possess. It is shown that including J1731-347 data favors EOSs that predict low-mass twins with M ≲ 1.3 M ⊙ that can be realized if the deconfinement transition density is low. If combined with large speed of sound in quark matter such models allow for maximum masses of hybrid stars in 2.0–2.6 M ⊙.

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Xin, Yunchang, Xiaojun Zhou, and Qing Liu. "Suppressing the tension–compression yield asymmetry of Mg alloy by hybrid extension twins structure." Materials Science and Engineering: A 567 (April 2013): 9–13. http://dx.doi.org/10.1016/j.msea.2012.12.094.

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Bellavista, Paolo, and Giuseppe Di Modica. "IoTwins: Implementing Distributed and Hybrid Digital Twins in Industrial Manufacturing and Facility Management Settings." Future Internet 16, no. 2 (February 17, 2024): 65. http://dx.doi.org/10.3390/fi16020065.

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A Digital Twin (DT) refers to a virtual representation or digital replica of a physical object, system, process, or entity. This concept involves creating a detailed, real-time digital counterpart that mimics the behavior, characteristics, and attributes of its physical counterpart. DTs have the potential to improve efficiency, reduce costs, and enhance decision-making by providing a detailed, real-time understanding of the physical systems they represent. While this technology is finding application in numerous fields, such as energy, healthcare, and transportation, it appears to be a key component of the digital transformation of industries fostered by the fourth Industrial revolution (Industry 4.0). In this paper, we present the research results achieved by IoTwins, a European research project aimed at investigating opportunities and issues of adopting DTs in the fields of industrial manufacturing and facility management. Particularly, we discuss a DT model and a reference architecture for use by the research community to implement a platform for the development and deployment of industrial DTs in the cloud continuum. Guided by the devised architectures’ principles, we implemented an open platform and a development methodology to help companies build DT-based industrial applications and deploy them in the so-called Edge/Cloud continuum. To prove the research value and the usability of the implemented platform, we discuss a simple yet practical development use case.

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Hsu, Wei-You, Shih-Chi Yang, You-Yi Lin, Wan-Zhen Hsieh, King-Ning Tu, Wei-Lan Chiu, Hsiang-Hung Chang, Ching-Yu Chiang, and Chih Chen. "Measurement of Thermal Stress by X-ray Nano-Diffraction in (111)-Oriented Nanotwinned Cu Bumps for Cu/SiO2 Hybrid Joints." Nanomaterials 13, no. 17 (August 29, 2023): 2448. http://dx.doi.org/10.3390/nano13172448.

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X-ray nanodiffraction was used to measure the thermal stress of 10 µm nanotwinned Cu bumps in Cu/SiO2 hybrid structures at −55 °C, 27 °C, 100 °C, 150 °C, and 200 °C. Bonding can be achieved without externally applied compression. The X-ray beam size is about 100 nm in diameter. The Cu bump is dominated by (111) oriented nano-twins. Before the hybrid bonding, the thermal stress in Cu bumps is compressive and remains compressive after bonding. The average stress in the bonded Cu joint at 200 °C is as large as −169.1 MPa. In addition, using the strain data measured at various temperatures, one can calculate the effective thermal expansion coefficient (CTE) for the 10 µm Cu bumps confined by the SiO2 dielectrics. This study reports a useful approach on measuring the strain and stress in oriented metal bumps confined by SiO2 dielectrics. The results also provide a deeper understanding on the mechanism of hybrid bonding without externally applied compression.

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Pujana, Ainhoa, Miguel Esteras, Eugenio Perea, Erik Maqueda, and Philippe Calvez. "Hybrid-Model-Based Digital Twin of the Drivetrain of a Wind Turbine and Its Application for Failure Synthetic Data Generation." Energies 16, no. 2 (January 12, 2023): 861. http://dx.doi.org/10.3390/en16020861.

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Computer modelling and digitalization are integral to the wind energy sector since they provide tools with which to improve the design and performance of wind turbines, and thus reduce both capital and operational costs. The massive sensor rollout and increase in big data processing capacity over the last decade has made data collection and analysis more efficient, allowing for the development and use of digital twins. This paper presents a methodology for developing a hybrid-model-based digital twin (DT) of a power conversion system of wind turbines. This DT allows knowledge to be acquired from real operation data while preserving physical design relationships, can generate synthetic data from events that never happened, and helps in the detection and classification of different failure conditions. Starting from an initial physics-based model of a wind turbine drivetrain, which is trained with real data, the proposed methodology has two major innovative outcomes. The first innovation aspect is the application of generative stochastic models coupled with a hybrid-model-based digital twin (DT) for the creation of synthetic failure data based on real anomalies observed in SCADA data. The second innovation aspect is the classification of failures based on machine learning techniques, that allows anomaly conditions to be identified in the operation of the wind turbine. Firstly, technique and methodology were contrasted and validated with operation data of a real wind farm owned by Engie, including labelled failure conditions. Although the selected use case technology is based on a double-fed induction generator (DFIG) and its corresponding partial-scale power converter, the methodology could be applied to other wind conversion technologies.

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Swati Lipsa and Ranjan Kumar Dash. "A novel intrusion detection system based on deep learning and random forest for digital twin on IOT platform." International Journal of Scholarly Research in Engineering and Technology 2, no. 1 (March 30, 2023): 051–64. http://dx.doi.org/10.56781/ijsret.2023.2.1.0020.

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Digital Twin (DT) has bright prospects for a broad spectrum of applications, such as supply chain, healthcare, predictive maintenance, etc. On one hand, the intrinsic properties of DT make it highly relevant to real-world applications, while on the other hand, they render it vulnerable to cyber threats. So, the security of DT is of utmost importance for the security of the communication and computational infrastructure underneath it. As cybercriminals are always coming up with new attack techniques, it is essential to safeguard the digital twin against malicious attacks. This can be accomplished by putting in place an efficient security mechanism, one of which is an intrusion detection system (IDS). The work done in this paper introduces a novel hybrid model for IDS in digital twins that integrates deep learning (DL) and random forest (RF). The effectiveness of the developed model is evaluated in comparison to that of k-Nearest Neighbors (KNN), Naive Bayes, Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), and Long Short Term Memory (LSTM), and it’s evident from the outcome that the proposed method has higher accuracy than the competing models by at least 5%. In addition to its high accuracy, our proposed model also promises impressively low computing time requirements when compared to other competing models.

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Bayer, Benjamin, Roger Dalmau Diaz, Michael Melcher, Gerald Striedner, and Mark Duerkop. "Digital Twin Application for Model-Based DoE to Rapidly Identify Ideal Process Conditions for Space-Time Yield Optimization." Processes 9, no. 7 (June 25, 2021): 1109. http://dx.doi.org/10.3390/pr9071109.

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The fast exploration of a design space and identification of the best process conditions facilitating the highest space-time yield are of great interest for manufacturers. To obtain this information, depending on the design space, a large number of practical experiments must be performed, analyzed, and evaluated. To reduce this experimental effort and increase the process understanding, we evaluated a model-based design of experiments to rapidly identify the optimum process conditions in a design space maximizing space-time yield. From a small initial dataset, hybrid models were implemented and used as digital bioprocess twins, thus obtaining the recommended optimal experiment. In cases where these optimum conditions were not covered by existing data, the experiment was carried out and added to the initial data set, re-training the hybrid model. The procedure was repeated until the model gained certainty about the best process conditions, i.e., no new recommendations. To evaluate this workflow, we utilized different initial data sets and assessed their respective performances. The fastest approach for optimizing the space-time yield in a three-dimensional design space was found with five initial experiments. The digital twin gained certainty after four recommendations, leading to a significantly reduced experimental effort compared to other state-of-the-art approaches. This highlights the benefits of in silico design space exploration for accelerating knowledge-based bioprocess development, and reducing the number of hands-on experiments, time, energy, and raw materials.

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Chinesta, Francisco, Elias Cueto, Emmanuelle Abisset-Chavanne, Jean Louis Duval, and Fouad El Khaldi. "Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data." Archives of Computational Methods in Engineering 27, no. 1 (November 26, 2018): 105–34. http://dx.doi.org/10.1007/s11831-018-9301-4.

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Zhao, Rongli, Guangxin Zou, Qianyi Su, Shangwen Zou, Wenshun Deng, Ailin Yu, and Hao Zhang. "Digital Twins-Based Production Line Design and Simulation Optimization of Large-Scale Mobile Phone Assembly Workshop." Machines 10, no. 5 (May 11, 2022): 367. http://dx.doi.org/10.3390/machines10050367.

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The mobile phone is a typical 3C electronic product characterized by frequent replacement, multiple product specifications, high flexibility, high-frequency production line switching, and urgent delivery time during production. Therefore, the optimized design of the mobile phone production workshop is crucial. This paper takes the assembly process of a specific type of mobile phone assembly as the research object and adopts the heuristic balance method to combine the production procedures. Moreover, it considers the automation degree of the process and the demand for production line rhythm to carry out station division and working hours design for the assembly process. The advantages and disadvantages of the plug-and-play production line and unit production line architecture are integrated, aiming at the production line’s construction cost and unit area capacity. A hybrid workshop with a mixed combination of two types of production lines is designed and an optimization model of hybrid workshop design is established. The semi-physical simulation technology of digital twins is utilized to verify the proposed design scheme to achieve the balance optimization of the production line, improve production efficiency, and reduce production costs. This work provides a technical scheme for designing and optimizing large-scale mobile phone assembly workshops with multi-batch and high-frequency production changes.

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Henriksen, Hans Jørgen, Raphael Schneider, Julian Koch, Maria Ondracek, Lars Troldborg, Ida K. Seidenfaden, Søren Julsgaard Kragh, Eva Bøgh, and Simon Stisen. "A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)." Water 15, no. 1 (December 21, 2022): 25. http://dx.doi.org/10.3390/w15010025.

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The paper analyzes the national DK-model hydrological information and prediction (HIP) system and HIP portal viewed as a ‘digital twin’ and how the introduction of real-time dynamic updating of the DK-model HIP simulations can make room for plug-in submodels with real-time boundary conditions made available from an HIP portal. The possible feedback to a national real-time risk knowledge base during extreme events (flooding and drought) is also discussed. Under climate change conditions, Denmark is likely to experience more rain in winter, more evapotranspiration in summer, intensified cloudbursts, drought, and sea level rise. These challenges were addressed as part of the Joint Governmental Digitalization Strategy 2016–2020 for better use and sharing of public data about the terrain, water, and climate to support climate adaptation, water management, and disaster risk reduction. This initiative included the development of a new web-based data portal (HIP portal) developed by the Danish Agency for Data Supply and Infrastructure (SDFI). GEUS delivered 5 terabytes of hydrological model data to the portal, with robust calibration methods and hybrid machine learning (ML) being key parts of the deliverables. This paper discusses the challenges and potentials of further developing the HIP digital twin with ‘plug-in digital twins’ for local river basins, including feedback to the national level.

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Gao, Zenggui, Ruining Yang, Kai Zhao, Wenhua Yu, Zheng Liu, and Lilan Liu. "Hybrid Convolutional Neural Network Approaches for Recognizing Collaborative Actions in Human–Robot Assembly Tasks." Sustainability 16, no. 1 (December 22, 2023): 139. http://dx.doi.org/10.3390/su16010139.

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In the context of sustainable manufacturing, efficient collaboration between humans and machines is crucial for improving assembly quality and efficiency. However, traditional methods for action recognition and human–robot collaborative assembly often face challenges such as low efficiency, low accuracy, and poor robustness. To solve such problems, this paper proposes an assembly action-recognition method based on a hybrid convolutional neural network. Firstly, an assembly action-recognition model is proposed using skeletal sequences and a hybrid convolutional neural network model combining Spatial Temporal Graph Convolutional Networks (ST-GCNs) and One-Dimensional Convolutional Neural Networks (1DCNNs) to sense and recognize human behavior actions during the assembly process. This model combines the joint spatial relationship and temporal information extraction ability of the ST-GCN model with the temporal feature extraction ability of the 1DCNN model. By incorporating Batch Normalization (BN) layers and Dropout layers, the generalization performance of the model is enhanced. Secondly, the model is validated on a self-constructed dataset of assembly actions, and the results show that the recognition accuracy of the model can reach 91.7%, demonstrating its superiority. Finally, a digital workshop application system based on digital twins is developed. To test the effectiveness of the proposed method, three sets of control experiments were designed to evaluate both objective and subjective aspects and verify the feasibility of the method presented in this paper. Compared with traditional assembly systems, the proposed method optimizes the recognition of human–robot collaborative assembly actions and applies them to intelligent control systems using digital-twin technology. This intelligent assembly method improves assembly efficiency and saves assembly time. It enables efficient and sustainable collaboration between humans and robots in assembly, leading to a positive and sustainable impact on the manufacturing industry.

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Langlotz, Pascal, Matthias Klar, Li Yi, Marco Hussong, Fábio J. P. Sousa, and Jan C. Aurich. "Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems." Procedia CIRP 112 (2022): 549–54. http://dx.doi.org/10.1016/j.procir.2022.09.098.

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Onile, Abiodun E., Eduard Petlenkov, Yoash Levron, and Juri Belikov. "Smartgrid-based hybrid digital twins framework for demand side recommendation service provision in distributed power systems." Future Generation Computer Systems 156 (July 2024): 142–56. http://dx.doi.org/10.1016/j.future.2024.03.018.

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Borsboom, W. A., B. Eslami Mossallam, and R. J. P. van der Linden. "Reducing peak load of renewable energy at district level with predictive twins." IOP Conference Series: Earth and Environmental Science 1085, no. 1 (September 1, 2022): 012007. http://dx.doi.org/10.1088/1755-1315/1085/1/012007.

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Abstract One of the major challenges in the energy transition of the built environment is how to integrate energy-producing neighbourhoods into the existing energy infrastructure. The aim is to avoid the peak load of local renewable energy by consuming it at district level as much as possible. The energy transition puts an increasing burden on the local energy grid, because of the increasing electrical load on the demand side by heat pumps and electrical vehicle charging, but also because of the increasing intermittent supply of energy through solar power and wind turbines. With a predictive twin, a digital representation at building and neighbourhood level, supply and demand can be better balanced, so more solar power is used locally and peak load is avoided. The predictive twin “SirinE”, developed by TNO, is a hybrid scalable model consisting of both a physical model for the building and installations, and an AI (Artificial Intelligence) model to describe the user behaviour. In the Horizon 2020 project syn.ikia, we are deploying this predictive twin in a model predictive controller (MPC) to use a temporary excess capacity of on-site solar energy as efficiently as possible. In this paper we present the model structure and the first simulation results for the energy prediction needed for the MPC.

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Mochalov, Yaroslav G. "THE USE OF DIGITAL TWINS USING A HYBRID WIND-DIESEL POWER PLANT ON THE ARCTIC SHELF TO PROVIDE SHIFT SETTLEMENTS FOR OIL WORKERS." Economy of the North-West: problems and prospects of development 4, no. 75 (December 25, 2023): 67–75. http://dx.doi.org/10.52897/2411-4588-2023-4-67-75.

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The article analyzes the experience of using digital twins in the Arctic zone of the Russian Federation in order to identify the economic efficiency of the introduction of such technologies to provide low-energy facilities, for example, the Varandey shift settlement. The prospects and possibilities of using digital doubles in modern Russian conditions are considered. In the course of the research work, many literary sources were studied. A comparative analysis of three power complexes with different components was carried out, which is based on the calculation of economic efficiency. The author focuses on the challenges to be faced at the initial stage of designing a hybrid complex, and also questions the payback of the project at the moment.

Journal articles on the topic 'Hybrid Twins'

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