A Feature-Based Framework for Structuring Industrial Digital Twins

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorAutiosalo, Juusoen_US
dc.contributor.authorVepsalainen, Jarien_US
dc.contributor.authorViitala, Raineen_US
dc.contributor.authorTammi, Karien_US
dc.contributor.departmentDepartment of Mechanical Engineeringen
dc.date.accessioned2020-02-03T09:00:11Z
dc.date.available2020-02-03T09:00:11Z
dc.date.issued2020-01-03en_US
dc.description.abstractDigital twin is a virtual entity that is linked to a real-world entity. Both the link and the virtual representation can be realized in several different ways. However, the ambiguous meanings associated with the term digital twin are causing unnecessary miscommunications as people have different interpretations of what can be accomplished with it. To provide clarity around the concept, we introduce a general approach to analyze and construct digital twins in various applications. We identify the common features of digital twins from earlier literature and propose an analysis method that compares digital twin instances based on these features. The method is used to verify the existence of the features and can be further enhanced. We formulate the observations to a feature-based digital twin framework (FDTF) to universally define and structure digital twins. The framework consists of three main principles: i) the idea that all digital twins consist of a definite set of features, ii) the features can be used to compare digital twin instances to each other, and iii) the features can be combined via a data link feature to construct future digital twins more efficiently. As key contributions, we found that the features can be identified in existing digital twin implementations and the feature combinations of the implementations are diverse. We suggest that the features should be leveraged to provide clarity and efficiency in digital twin discussion and implementation. We further propose a general procedure for building digital twins.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.extent1193-1208
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAutiosalo, J, Vepsalainen, J, Viitala, R & Tammi, K 2020, ' A Feature-Based Framework for Structuring Industrial Digital Twins ', IEEE Access, vol. 8, 8887161, pp. 1193-1208 . https://doi.org/10.1109/ACCESS.2019.2950507en
dc.identifier.doi10.1109/ACCESS.2019.2950507en_US
dc.identifier.issn2169-3536
dc.identifier.otherPURE UUID: 50f6c915-97f0-4657-892c-006b361657ceen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/50f6c915-97f0-4657-892c-006b361657ceen_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85077802084&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/40446994/ENG_Autiosalo_et_al_A_Feature_based_Framework_IEEE_Access.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/42904
dc.identifier.urnURN:NBN:fi:aalto-202002031983
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseriesIEEE Accessen
dc.relation.ispartofseriesVolume 8en
dc.rightsopenAccessen
dc.subject.keywordcyber-physical systemsen_US
dc.subject.keywordDigital twinen_US
dc.subject.keywordenterprise systemsen_US
dc.subject.keywordIndustrial Internet of Thingsen_US
dc.titleA Feature-Based Framework for Structuring Industrial Digital Twinsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
Files