Representation of Human Behaviour for the Visualization in Assembly Design

Abstract:

This article extends the Uncertainty Mode and Effects Analysis (UMEA) to human effects and uses ontologies to connect human driven uncertainty data to the corresponding parts in an aircraft CAD-Assembly. Still, human behaviour is one of the major sources of uncertainty in the product usage phase. Hence, using uncertainty data of human behaviour for product design becomes increasingly important, especially for the control of uncertainty in load carrying systems. In this context, the exchange of semantically enriched uncertainty data between different domains and domain specific applications guarantees the consistency of the data prevents misinterpretation and enables the reuse of existing data for future design decisions.

• Periodical: Applied Mechanics and Materials (Volume 807)
• Pages: 183-192
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.807.183
• Online since: November 2015
• Authors: Maximilian Zocholl*, Felix Heimrich, Marius Oberle, Jan Würtenberger, Ralph Bruder, Reiner Anderl
• Keywords: Aviation, CAD, Human Uncertainty, OWL 2 Ontology, Process-Chain Model, UMEA

References

[1] R. Engelhardt, A model to analyse Uncertainties on Stakeholders' Evaluations in Technical Systems, Proceedings of the TMCE 2010, April 12–16, Ancona, Italy, (2010).

[2] VDI 3780 (2000), Technology Assessment Concepts And Foundations, VDI-Richtlinien, Düsseldorf, (2000).

[3] H. Birkhofer, Analyse und Synthese der Funktionen technischer Produkte, VDI Verlag Düsseldorf, (1980).

[4] R. Engelhardt, Uncertainty-Mode- and Effects-Analysis – an Approach to Analyze and Estimate Uncertainty in the Product Life Cycle, Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 2, Palo Alto, CA, USA, (2009).

[5] M. Oberle, R. Bruder, Process model for the investigation of human uncertainty during the usage of load bearing systems, Proceedings 19th Triennial Congress of the IEA, Melbourne, (2015).

[6] R. Moffat, Describing the Uncertainty in Experimental Results, Experimental Thermal and Fluid Science, New York, pp.3-17, (1988).

[7] B. Möller, M. Beer, Engineering computation under uncertainty - Capabilities of non-traditional models, Computers and Structures, pp.1024-1041, (2008).

DOI: 10.1016/j.compstruc.2007.05.041

[8] H. Hanselka, R. Platz, Ansätze und Maßnahmen zur Beherrschung von Unsicherheit in lasttragenden Systemen des Maschinenbaus: Controlling Uncertainties in Load Carrying Systems, VDI-Zeitschrift Konstruktion, pp.55-62, 11/12 (2010).

[9] R. Engelhardt et al., A Model to Categorise Uncertainty in Load-Carrying Systems, 1st MMEP International Conference on Modelling and Management Engineering Processes, Cambridge, 19-20 July (2010).

[10] A. Bretz et al., Darstellung passiver, semi-aktiver und aktiver Maßnahmen im SFB 805-Prozessmodell, 2015. Available on: http: /www. sfb805. tu-darmstadt. de/media/sfb805/f_ downloads/150310_AKIII_Definitionen_aktiv-passiv. pdf, Accessed on: 1. April (2015).

[11] T. Eifler et al., Approach for a consistent description of uncertainty in process chains of load carrying mechanical systems, Applied Mechanics and Materials, 2012, pp.133-144.

DOI: 10.4028/www.scientific.net/amm.104.133

[12] R. McElrath, BlackBox, 2013, Available on: http: /www. robbiemcelrath. com/fs/blackbox/about, Accessed on: 2. April (2015).

[13] M Uschold, R. Jasper, A Framework for Understanding and Classifying Ontology Applications. Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5), Stockholm, Sweden, pp.1-12, August (1999).

[14] T. Gruber, G. Olsen, An Ontology for Engineering Mathematics, Fourth International Conference on Principles of Knowledge Representation and Reasoning, Bonn, pp.258-269, (1994).

DOI: 10.1016/b978-1-4832-1452-8.50120-2

[15] M. Ast, M. Glas, T. Roehm, Creating an Ontology for Aircraft Design, Publikationen zum Deutschen Luft- und Raumfahrtkongress 2013, Stuttgart, pp.1-11. November (2014).

[16] L. Lefort, Ontology for Quantity Kinds and Units: units and quantities definitions, 2010. Available on: http: /purl. oclc. org/NET/ssnx/qu/qu-rec20. Accessed on: 26 March (2015).

[17] M. Glas, Ontology-based Model Integration for the Conceptual Design of Aircraft, (2013).

[18] X. Fiorentini et al., An Ontology for Assembly Representation, National Institute of Standards and Technology, (2007).

[19] A. Matsokis, D. Kiritsis, Ontology applications in PLM, International Journal of Product Lifecycle Management (Vol. 5, No. 1), pp.84-97, (2011).

DOI: 10.1504/ijplm.2011.038104

[20] H. Schorr, Ontologies, Knowledge Bases and Knowledge Management, University of Southern California, Los Angeles, (2011).

[21] W. Verhagen, R. Curran, An Ontology-based Approach for Aircraft Maintenance Task Support, 20th ISPE International Conference on Concurrent Engineering, pp.494-506, (2013).

[22] Y Wang, et al., Aviation Equipment Fault Information Fusion Based on Ontology, International Conference on Computer, Communications and Information Technology (CCIT 2014), (2014).

DOI: 10.2991/ccit-14.2014.3

[23] W3C, Semantic Sensor Net Ontology, Available on: http: /www. w3. org/2005/Incubator/ssn/ wiki/Semantic_Sensor_Net_Ontology, Accessed on 8. April (2015).

[24] W3C, Ontology for Quantity Kinds and Units: units and quantities definitions, Available on: http: /www. w3. org/2005/Incubator/ssn/ssnx/qu/qu-rec20, Accessed on 8. April (2015).

[25] E.A. Lee, Cyber Physical Systems: Design Challenges, 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC), Orlando, pp.363-369, (2008).

DOI: 10.1109/isorc.2008.25

[26] F. Mueller, Challenges for cyber-physical systems: Security, timing analysis and soft error protection, High-Confidence Software Platforms for Cyber-Physical Systems (HCSP-CPS) Workshop, Alexandria, Virginia. (2006).

[27] W3C, OWL 2 Web Ontology Language Profiles, http: /www. w3. org/TR/owl2-profiles/#Computational_Properties, Accessed on 9. April (2015).

[28] International Electrotechnical Commission, IEC 61360 - Common Data Dictionary, http: /std. iec. ch/iec61360, Accessed on 9. April (2015).

[29] eCl@ss e.V., Classification and Product Description, http: /www. eclass. de/, Accessed on 9. April (2015).

[30] ETIM Deutschland e.V., Das Klassifizierungsmodell der Elektrobranche, http: /www. etim. de/, Accessed on 9. April (2015).