Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing
暂无分享,去创建一个
Chao Zhang | Zhi Li | Guanghui Zhou | Chuang Wang | Kai Ding | Chao Zhang | Guanghui Zhou | Kai Ding | Zhi Li | Chuang Wang
[1] Andreia Malucelli,et al. Interoperable manufacturing knowledge systems , 2018 .
[2] Pingyu Jiang,et al. RFID-based production data analysis in an IoT-enabled smart job-shop , 2018, IEEE/CAA Journal of Automatica Sinica.
[3] Juzhi Zhang,et al. A local seller's app channel strategy concerning delivery , 2018, Int. J. Prod. Res..
[4] Yan Yang,et al. A knowledge based intelligent process planning method for controller of computer numerical control machine tools , 2020, J. Intell. Manuf..
[5] Peigen Li,et al. Toward New-Generation Intelligent Manufacturing , 2018 .
[6] Chao Zhang,et al. Generating significant subassemblies from 3D assembly models for design reuse , 2018 .
[7] Alain-Jérôme Fougères,et al. Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing , 2018, Eng. Appl. Artif. Intell..
[8] Qi Lu,et al. HEKM: A High-End Equipment Knowledge Management System for Supporting Knowledge-Driven Decision-Making in New Product Development , 2018 .
[9] Edward H. Glaessgen,et al. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles , 2012 .
[10] Bernard Kamsu-Foguem,et al. Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving , 2013, Comput. Ind..
[11] Reiner Anderl,et al. Digital twin – Proof of concept , 2018 .
[12] Yan Yang,et al. A STEP-based machining data model for autonomous process generation of intelligent CNC controller , 2018 .
[13] Ray Y. Zhong,et al. Intelligent Manufacturing in the Context of Industry 4.0: A Review , 2017 .
[14] Hajar Homayouni,et al. Testing Extract-Transform-Load Process in Data Warehouse Systems , 2018, 2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).
[15] Andrew Y. C. Nee,et al. Digital twin driven prognostics and health management for complex equipment , 2018 .
[16] J. S. Zuback,et al. Building blocks for a digital twin of additive manufacturing , 2017 .
[17] T. Edgar,et al. Smart Manufacturing. , 2015, Annual review of chemical and biomolecular engineering.
[18] Xiang Chen,et al. Guest Editorial Focused Section on Sensing and Perception Systems for Intelligent Manufacturing (SPIM) , 2018 .
[19] Meng Zhang,et al. Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing , 2017, IEEE Access.
[20] Chao Zhang,et al. Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development , 2017, Int. J. Prod. Res..
[21] Felix T.S. Chan,et al. Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors , 2019, Int. J. Prod. Res..
[22] Shaw C. Feng,et al. Toward Knowledge Management for Smart Manufacturing , 2017, J. Comput. Inf. Sci. Eng..
[23] Andrew Y. C. Nee,et al. Digital twin-driven product design framework , 2019, Int. J. Prod. Res..
[24] Kai Ding,et al. RFID-enabled social manufacturing system for inter-enterprise monitoring and dispatching of integrated production and transportation tasks , 2018 .
[25] Luca Fumagalli,et al. Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems , 2018, Int. J. Comput. Integr. Manuf..
[26] Qiang Liu,et al. Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop , 2018, Journal of Ambient Intelligence and Humanized Computing.
[27] Luciano Bononi,et al. A Semantic Publish-Subscribe Architecture for the Internet of Things , 2016, IEEE Internet of Things Journal.
[28] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Sandro Wartzack,et al. Shaping the digital twin for design and production engineering , 2017 .
[30] Haiyan Lu,et al. Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting , 2017 .
[31] Fei Tao,et al. Modeling of Cyber-Physical Systems and Digital Twin Based on Edge Computing, Fog Computing and Cloud Computing Towards Smart Manufacturing , 2018, Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing.
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] F. G. Rimini,et al. Digital twin applications for the JET divertor , 2017 .
[34] Andrew Kusiak,et al. Data-driven smart manufacturing , 2018, Journal of Manufacturing Systems.
[35] Chao Zhang,et al. A view-based 3D CAD model reuse framework enabling product lifecycle reuse , 2019, Adv. Eng. Softw..
[36] Guanghui Zhou,et al. Decision support oriented ontological modeling of product knowledge , 2017, 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
[37] Kristofer Bengtsson,et al. Data Flow and Communication Framework Supporting Digital Twin for Geometry Assurance , 2017 .
[38] Philip Moore,et al. Cloud manufacturing – a critical review of recent development and future trends , 2017, Int. J. Comput. Integr. Manuf..
[39] Fei Tao,et al. Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.
[40] Xuedong Liang,et al. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment , 2015 .
[41] Michael W. Grieves,et al. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems , 2017 .
[42] Qiang Liu,et al. Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system , 2019, Int. J. Prod. Res..
[43] Pablo Bermell-Garcia,et al. A new knowledge sourcing framework for knowledge-based engineering: An aerospace industry case study , 2017, Comput. Ind. Eng..
[44] Sandro Wartzack,et al. Skin Model Shapes: A new paradigm shift for geometric variations modelling in mechanical engineering , 2014, Comput. Aided Des..
[45] Fei Tao,et al. Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison , 2018, IEEE Access.