Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pekka Aarnio"'
Publikováno v:
Computers in Industry. 97:34-46
This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778d5f03689f484f79fc78972cf4187a
https://doi.org/10.1016/j.compind.2018.01.013
https://doi.org/10.1016/j.compind.2018.01.013
Publikováno v:
Gulzar, K, Ruusu, R, Sierla, S, Aarnio, P, Karhela, T & Vyatkin, V 2018, Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model . in Proceedings of 16th International Conference on Industrial Informatics : INDIN 2018 ., 8471980, IEEE Institute of Electrical and Electronic Engineers, pp. 741-746, 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18/07/18 . https://doi.org/10.1109/INDIN.2018.8471980
INDIN
INDIN
Model driven development of industrial process control systems has received extensive interest from the industrial informatics community. Another area of active interest has been the use of simulation of industrial processes in conjunction with contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6902b85b1c2a2114489314d7d8700d
https://doi.org/10.1109/INDIN.2018.8471980
https://doi.org/10.1109/INDIN.2018.8471980
Publikováno v:
ETFA
Industrial maintenance requires not only experienced service personnel to carry out the tasks but also up-to-date information about the target equipment and its environment. Accessing information required to execute the tasks is a common challenge fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea4b1dc9380ba7fd95f8500efeb41ea9
https://doi.org/10.1109/etfa.2016.7733539
https://doi.org/10.1109/etfa.2016.7733539
Publikováno v:
KMIS
Industrial maintenance is a complex discipline requiring experience and know-how. Information such as maintenance work orders are usually provided through mobile devices to field personnel. There are also other information sources with manuals, docum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d5689a6a6b9a092c757a003432d6ae
https://doi.org/10.5220/0005595601820192
https://doi.org/10.5220/0005595601820192
Publikováno v:
ETFA
Condition-based maintenance (CBM) has been implemented in industry to arrange the maintenance work as efficiently as possible. Case-based reasoning (CBR) can be used to automate part of the CBM decision process. However, in complex situations the fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78fa26717d23a49f2bcef4c55dc02dda
https://doi.org/10.1109/etfa.2014.7005195
https://doi.org/10.1109/etfa.2014.7005195
Autor:
Pekka Aarnio, Ilkka Seilonen
Publikováno v:
ETFA
An approach to using RDF triple stores as a knowledge management technology for CBM services is presented in this paper. According to the approach, the management of the case knowledge handled in CBM services can be implemented with RDF triple store
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37100894edfde4fe3c2d4b68d0ae8a04
https://doi.org/10.1109/etfa.2013.6648123
https://doi.org/10.1109/etfa.2013.6648123
Publikováno v:
Aalto University
ETFA
ETFA
Model-Based Testing (MBT) is expected to increase test coverage and reduce the development and maintenance effort of test suites. However, MBT approaches require source information such as UML diagrams that are not produced by many companies in the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b91717e31b5940700a69dd60b08987a3
https://research.aalto.fi/en/publications/industrial-evaluation-of-functional-modelbased-testing-for-process-control-applications-using-caex(6f86c1b0-9605-4a51-be2f-e7b848bc007f).html
https://research.aalto.fi/en/publications/industrial-evaluation-of-functional-modelbased-testing-for-process-control-applications-using-caex(6f86c1b0-9605-4a51-be2f-e7b848bc007f).html