Digital Twins

Digital Twins and Smart Maintenance in Industry.

Introduction

Maintenance planning can get significant insights from the new way of sensing based on distribute, low energy and cost sensors available because of the take off era for IoT. We can find strategies considering signals from existing process sensors, to help verify the performance of the sensors and process-to-sensor interfaces, and also to identify problems in the process. Another category depends on signals from additional sensors that are installed on plant equipment. Variables read from those sensors are then trended to identify the onset of degradation or failure. With each additional parameter that can be measured and correlated with equipment condition, the diagnostic capabilities of the category can increase significantly.

Because of the unprecedented level of available data for equipment it appears as an interesting opportunity to create a digitally integrated behavior of assets. Such digital representation is known as Digital Twin and it is able to describe the operating conditions experienced. Based on them, by using Artificial Intelligent (AI) techniques forecast of degradation can be inferred, but also analysis of what if effects.  

In the end, what this line aims to develop is the asset digital identity in such a way it can reacts to potential future events based on its current status and past history. This can be easily connected to the integrative view of prescriptive maintenance concept.

Unbelievable progress is foreseen in the coming years when these technologies are used for servitization processes.

Related Publications

Some of the interesting papers produced in this research can be found underneath,

  • [DOI] C. Ramírez-Aragón, F. Alba-Elías, A. González-Marcos, and J. Ordieres-Meré, “Improving the feeder shoe design of an eccentric tablet press machine,” Powder technology, vol. 372, pp. 542-562, 2020.
    [Bibtex]
    @Article{RAMIREZARAGON2020542,
    title = {Improving the feeder shoe design of an eccentric tablet press machine},
    journal = {Powder Technology},
    volume = {372},
    pages = {542 - 562},
    year = {2020},
    issn = {0032-5910},
    doi = {https://doi.org/10.1016/j.powtec.2020.05.104},
    url = {http://www.sciencedirect.com/science/article/pii/S0032591020304782},
    author = {Cristina Ram\'irez-Aragón and Fernando Alba-El\'ias and Ana González-Marcos and Joaquín Ordieres-Meré},
    keywords = {Segregation, Granular material, Eccentric tablet press machine, Inserts, Experimental, Discrete element method (DEM)},
    note = {\textbf{Q1}; 4.142; Engineering, Chemical},
    gsid = {13964399972724302718},
    gsid = {13964399972724302718},
    ncites = {4},
    ncites = {4},
    }
  • [DOI] S. Sun, X. Zheng, J. Villalba-Díez, and J. Ordieres-Meré, “Data handling in industry 4.0: interoperability based on distributed ledger technology,” Sensors, vol. 20, iss. 11, p. 3046, 2020.
    [Bibtex]
    @Article{sun2020data,
    title = {Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology},
    author = {Shengjing Sun and Xiaochen Zheng and Javier Villalba-Díez and Joaqu\'in Ordieres-Meré},
    journal = {Sensors},
    volume = {20},
    number = {11},
    pages = {3046},
    year = {2020},
    url = {https://www.mdpi.com/1424-8220/20/11/3046},
    doi = {10.3390/s20113046},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {16573729277343494954},
    ncites = {37},
    }
  • [DOI] D. Schmidt, J. Villalba Diez, J. Ordieres-Meré, R. Gevers, J. Schwiep, and M. Molina, “Industry 4.0 lean shopfloor management characterization using eeg sensors and deep learning,” Sensors, vol. 20, iss. 10, p. 2860, 2020.
    [Bibtex]
    @Article{schmidt2020industry,
    title = {Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning},
    author = {Daniel Schmidt and Javier {Villalba Diez} and Joaqu\'in Ordieres-Meré and Roman Gevers and Joerg Schwiep and Martin Molina},
    journal = {Sensors},
    volume = {20},
    number = {10},
    pages = {2860},
    year = {2020},
    url = {https://www.mdpi.com/1424-8220/20/10/2860},
    doi = {10.3390/s20102860},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {14758651879465604820},
    ncites = {27},
    }
  • [DOI] S. Sun, X. Zheng, B. Gong, J. García Paredes, and J. Ordieres-Meré, “Healthy operator 4.0: a human cyber–physical system architecture for smart workplaces,” Sensors, vol. 20, iss. 7, p. 2011, 2020.
    [Bibtex]
    @Article{sun2020healthy,
    title = {Healthy Operator 4.0: A Human Cyber--Physical System Architecture for Smart Workplaces},
    author = {Shengjing Sun and Xiaochen Zheng and Bing Gong and Jorge {García Paredes} and Joaqu\'in Ordieres-Meré},
    journal = {Sensors},
    volume = {20},
    number = {7},
    pages = {2011},
    year = {2020},
    url = {https://www.mdpi.com/1424-8220/20/7/2011},
    doi = {10.3390/s20072011},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {15229857575878997714},
    ncites = {49},
    }
  • [DOI] J. Ordieres-Meré, T. P. Remón, and J. Rubio, “Digitalization: an opportunity for contributing to sustainability from knowledge creation,” Sustainability, vol. 12, iss. 4, p. 1460, 2020.
    [Bibtex]
    @Article{ordieres2020digitalization,
    title = {Digitalization: An opportunity for contributing to sustainability from knowledge creation},
    author = {Joaqu\'in Ordieres-Meré and Tomás Prieto Remón and Jesús Rubio},
    journal = {Sustainability},
    volume = {12},
    number = {4},
    pages = {1460},
    year = {2020},
    url = {https://www.mdpi.com/2071-1050/12/4/1460},
    doi = {10.3390/su12041460},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q2}; 2.468; Environmental Science},
    gsid = {8913950056194442005},
    ncites = {101},
    }
  • [DOI] J. Villalba-Díez, M. Molina, J. Ordieres-Meré, S. Sun, D. Schmidt, and W. Wellbrock, “Geometric deep lean learning: deep learning in industry 4.0 cyber–physical complex networks,” Sensors, vol. 20, iss. 3, p. 763, 2020.
    [Bibtex]
    @Article{villalba2020geometric,
    title = {Geometric Deep Lean Learning: Deep Learning in Industry 4.0 Cyber--Physical Complex Networks},
    author = {Javier Villalba-Díez and Martin Molina and Joaqu\'in Ordieres-Meré and Shengjing Sun and Daniel Schmidt and Wanja Wellbrock},
    journal = {Sensors},
    volume = {20},
    number = {3},
    pages = {763},
    year = {2020},
    url = {https://www.mdpi.com/1424-8220/20/3/763},
    doi = {10.3390/s20030763},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {15286386535255665589},
    ncites = {21},
    }
  • [DOI] J. Villalba-Diez, D. Schmidt, R. Gevers, J. Ordieres-Meré, M. Buchwitz, and W. Wellbrock, “Deep learning for industrial computer vision quality control in the printing industry 4.0,” Sensors, vol. 19, iss. 18, p. 3987, 2019.
    [Bibtex]
    @Article{villalba2019deep,
    title = {Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0},
    author = {Javier Villalba-Diez and Daniel Schmidt and Roman Gevers and Joaqu\'in Ordieres-Meré and Martin Buchwitz and Wanja Wellbrock},
    journal = {Sensors},
    volume = {19},
    number = {18},
    pages = {3987},
    year = {2019},
    url = {https://www.mdpi.com/1424-8220/19/18/3987},
    doi = {10.3390/s19183987},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {13137413968855254348},
    ncites = {60},
    }
  • X. Zheng, S. Sun, R. R. Mukkamala, R. Vatrapu, and J. Ordieres-Meré, “Accelerating health data sharing: a solution based on the internet of things and distributed ledger technologies,” Journal of medical internet research, vol. 21, iss. 6, p. e13583, 2019.
    [Bibtex]
    @Article{zheng2019accelerating,
    title = {Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies},
    author = {Xiaochen Zheng and Shengjing Sun and Raghava Rao Mukkamala and Ravi Vatrapu and Joaqu\'in Ordieres-Meré},
    journal = {Journal of medical Internet research},
    volume = {21},
    number = {6},
    pages = {e13583},
    year = {2019},
    publisher = {JMIR Publications Inc., Toronto, Canada},
    note = {\textbf{Q1}; 5.034; Medical Informatics},
    gsid = {11896143269341442310},
    ncites = {88},
    }
  • M. Á. Antón, J. Ordieres-Meré, U. Saralegui, and S. Sun, “Non-invasive ambient intelligence in real life: dealing with noisy patterns to help older people,” Sensors, vol. 19, iss. 14, p. 3113, 2019.
    [Bibtex]
    @Article{anton2019non,
    title = {Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People},
    author = {Miguel Ángel Antón and Joaqu\'in Ordieres-Meré and Unai Saralegui and Shengjing Sun},
    journal = {Sensors},
    volume = {19},
    number = {14},
    pages = {3113},
    year = {2019},
    url = {https://www.mdpi.com/1424-8220/19/14/3113},
    publisher = {Multidisciplinary Digital Publishing Institute},
    note = {\textbf{Q1}; 3.275; Instruments \& Instrumentation},
    gsid = {10402819281666227884},
    ncites = {15},
    }
  • [DOI] G. Bing, Z. Xiaochen, G. Qing, and J. Ordieres-Meré, “Discovering the patterns of energy consumption, gdp, and $CO_{2}$ emissions in china using the cluster method,” Energy, vol. 166, p. 1149–1167, 2019.
    [Bibtex]
    @Article{bing2018discovering,
    title = {Discovering the patterns of energy consumption, GDP, and $CO_{2}$ emissions in China using the cluster method},
    author = {Gong Bing and Zheng Xiaochen and Guo Qing and Joaqu\'in Ordieres-Meré},
    journal = {Energy},
    pages = {1149--1167},
    volume = {166},
    year = {2019},
    publisher = {Elsevier},
    url = {https://www.sciencedirect.com/science/article/pii/S0360544218321388},
    doi = {10.1016/j.energy.2018.10.143},
    note = {\textbf{Q1}; 6.082; Energy \& Fuels},
    gsid = {6260347305797686885},
    ncites = {25},
    }
  • [DOI] I. D. Sanctis, J. O. Meré, and F. E. Ciarapica, “Resilience for lean organisational network,” International journal of production research, pp. 1-20, 2018.
    [Bibtex]
    @Article{doi:10.1080/00207543.2018.1457810,
    author = {Ilaria De Sanctis and Joaqu\'in Ordieres Meré and Filippo Emanuele Ciarapica},
    title = {Resilience for lean organisational network},
    journal = {International Journal of Production Research},
    volume = {0},
    number = {0},
    pages = {1-20},
    year = {2018},
    publisher = {Taylor \& Francis},
    doi = {10.1080/00207543.2018.1457810},
    url = {https://doi.org/10.1080/00207543.2018.1457810 },
    note = {\textbf{Q1}; 3.199; Operational Research \& Management Sciences},
    gsid = {1481311593624838045},
    ncites = {29},
    }
  • [DOI] F. Shrouf, B. Gong, and J. Ordieres-Meré, “Multi-level awareness of energy used in production processes,” Journal of cleaner production, vol. 142, Part 4, pp. 2570-2585, 2017.
    [Bibtex]
    @Article{Shrouf20172570,
    title = {Multi-level awareness of energy used in production processes },
    journal = {Journal of Cleaner Production },
    volume = {142, Part 4},
    pages = {2570 - 2585},
    year = {2017},
    issn = {0959-6526},
    doi = {http://dx.doi.org/10.1016/j.jclepro.2016.11.019},
    url = {http://www.sciencedirect.com/science/article/pii/S0959652616318534},
    author = {Fadi Shrouf and Bing Gong and Joaquin Ordieres-Meré},
    keywords = {Multi-level energy awareness},
    comment = {Jmr2JHQAAAAJ:t7zJ5fGR-2UC},
    note = {\textbf{Q1}; 5.651; Engineering, Environmental},
    gsid = {2215004895783949673},
    ncites = {37},
    }

Related Theses

Indeed, it is possible to make reference to specific thesis already finished, which are related to this research line

  • S. Sun, “Digitalization capacity for knowledge acquisition: learning from health.,” Tesis PhD Thesis, 2020.
    [Bibtex]
    @PHDTHESIS{upm20200706,
    title = { Digitalization Capacity for Knowledge Acquisition: Learning from Health.},
    school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
    author = {Shengjing Sun},
    year = {2020},
    type = {Tesis},
    note = {autor, Shengjing Sun,
    Advisors, Joaqu\'in Ordieres Mer\'e},
    university = {Universidad Polit\'ecnica de Madrid,
    Programa DEGIN,
    Departamento de Ingenier\'ia de
    Organizaci\'on Administraci\'on de Empresas y Estad\'istica,
    Universidad Polit\'ecnica de Madrid}
    }
  • X. Zheng, “Relevant framework for social applications of internet of things by means of machine learning.,” Tesis PhD Thesis, 2019.
    [Bibtex]
    @PHDTHESIS{upm20190429,
    title = {Relevant framework for social applications of internet of things by means of machine learning.},
    school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
    author = {Xiaochen Zheng},
    year = {2019},
    type = {Tesis},
    note = {autor, Xiaochen Zheng,
    Advisors, Joaqu\'in Ordieres Mer\'e},
    university = {Universidad Polit\'ecnica de Madrid,
    Programa DEGIN,
    Departamento de Ingenier\'ia de
    Organizaci\'on Administraci\'on de Empresas y Estad\'istica,
    Universidad Polit\'ecnica de Madrid}
    }
  • F. Shrouf, “Utilizing the internet of things to promote energy awareness and efficiency at discrete production processes: practices and methodology,” Tesis PhD Thesis, 2015.
    [Bibtex]
    @PHDTHESIS{Shrouf2015,
    author = {Shrouf, Fadi},
    title = {Utilizing the Internet of Things to promote energy awareness and
    efficiency at discrete production processes: Practices and methodology},
    school = {Industrial Engieering. Universidad Polit\'ecnica de Madrid},
    year = {2015},
    type = {Tesis},
    note = {autor, Fadi Shrouf ; Advisors, Joaqu\'in Ordieres Mer\'e and Giovanni Miragliotta},
    owner = {jb},
    url = {http://oa.upm.es/37542/},
    timestamp = {2015.07.21},
    university = {Universidad Polit\'ecnica de Madrid, Departamento de Ingenier\'a de
    Organizaci\'on Administraci\'on de Empresas y Estad\'stica,
    Universidad Polit\'ecnica de Madrid}
    }

Related Research Projects

Some research projects are aligned to this research line, such as,

CodeURL of the project / TitleFunding source
WISESThttp://wisestproject.com/European Commission
SMASHINGhttps://biba.etsii.upm.es/pmq/smashing/National Research Agency
AUTOSURVEILLANCEhttps://www.cetic.be/AutoSurveillance-enEuropean Commission
CONTROLinSTEELhttps://www.santannapisa.it/it/ricerca/progetti/control-steel-diffusione-e-valorizzazione-dei-risultati-di-rfcs-nel-campo-delleEuropean Commission