A Multi-Device Assistive System for Industrial Maintenance Operations

M. Heinz, H. Dhiman, C. Röcker, in: A. Holzinger, P. Kieseberg, A.M. Tjoa, E. Weippl (Eds.), Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Springer, Cham, 2018, pp. 239–247.

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Konferenz - Beitrag | Veröffentlicht | Englisch
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Abstract
Recent advances in the field of industrial digitization and automation lead to an increasing need for assistance systems to support workers in various fields of activity, such as assembly, logistics and maintenance. Current assistance systems for the maintenance area are usually based on a single visualization technology. However, in our view, this is not practicable in terms of real activities, as these operations involve various subtasks for which different interaction concepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.
Erscheinungsjahr
Titel des Konferenzbandes
Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018
Band
11015
Seite
239 - 247
Konferenz
International Cross-Domain Conference, CD-MAKE 2018
Konferenzort
Hamburg
Konferenzdatum
2018-08-27 – 2018-08-30
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Heinz M, Dhiman H, Röcker C. A Multi-Device Assistive System for Industrial Maintenance Operations. In: Holzinger A, Kieseberg P, Tjoa AM, Weippl E, eds. Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018. Vol 11015. Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Cham: Springer; 2018:239-247. doi:10.1007/978-3-319-99740-7_16
Heinz, M., Dhiman, H., & Röcker, C. (2018). A Multi-Device Assistive System for Industrial Maintenance Operations. In A. Holzinger, P. Kieseberg, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018 (Vol. 11015, pp. 239–247). Cham: Springer. https://doi.org/10.1007/978-3-319-99740-7_16
Heinz M, Dhiman H and Röcker C (2018) A Multi-Device Assistive System for Industrial Maintenance Operations. In Holzinger A et al. (eds), Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, vol. 11015. Cham: Springer, pp. 239–247.
Heinz, Mario, Hitesh Dhiman, and Carsten Röcker. “A Multi-Device Assistive System for Industrial Maintenance Operations.” In Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, edited by Andreas Holzinger, Peter Kieseberg, A Min Tjoa, and Edgar Weippl, 11015:239–47. Lecture Notes in Computer Science /  Information Systems and Applications, Incl. Internet/Web, and HCI. Cham: Springer, 2018. https://doi.org/10.1007/978-3-319-99740-7_16.
Heinz, Mario, Hitesh Dhiman und Carsten Röcker. 2018. A Multi-Device Assistive System for Industrial Maintenance Operations. In: Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, hg. von Andreas Holzinger, Peter Kieseberg, A Min Tjoa, und Edgar Weippl, 11015:239–247. Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Cham: Springer. doi:10.1007/978-3-319-99740-7_16, .
Heinz, Mario ; Dhiman, Hitesh ; Röcker, Carsten: A Multi-Device Assistive System for Industrial Maintenance Operations. In: Holzinger, A. ; Kieseberg, P. ; Tjoa, A. M. ; Weippl, E. (Hrsg.): Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Bd. 11015. Cham : Springer, 2018, S. 239–247
M. Heinz, H. Dhiman, C. Röcker, A Multi-Device Assistive System for Industrial Maintenance Operations, in: A. Holzinger, P. Kieseberg, A.M. Tjoa, E. Weippl (Eds.), Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Springer, Cham, 2018: pp. 239–247.
M. Heinz, H. Dhiman, and C. Röcker, “A Multi-Device Assistive System for Industrial Maintenance Operations,” in Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, 2018, vol. 11015, pp. 239–247.
Heinz, Mario, et al. “A Multi-Device Assistive System for Industrial Maintenance Operations.” Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, edited by Andreas Holzinger et al., vol. 11015, Springer, 2018, pp. 239–47, doi:10.1007/978-3-319-99740-7_16.
Heinz, Mario et. al. (2018): A Multi-Device Assistive System for Industrial Maintenance Operations, in: Andreas Holzinger et. al. (Hgg.): Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018 (=Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI 11015), Cham, S. 239–247.
Heinz M, Dhiman H, Röcker C. A Multi-Device Assistive System for Industrial Maintenance Operations. In: Holzinger A, Kieseberg P, Tjoa AM, Weippl E, editors. Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 84, 89, TC 12/WG 129 International Cross-Domain Conference, CD-MAKE 2018. Cham: Springer; 2018. p. 239–47. (Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI; vol. 11015).
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