Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-10T10:53:30.916Z Has data issue: false hasContentIssue false
  • English
  • Français

Design for Monitoring of a Research Vehicle

Part of: Mobility

Published online by Cambridge University Press:  26 July 2019

Nobert Kukurowski ,
Ralf Stetter  and
Marcin Witczak
Nobert Kukurowski
Affiliation:
Institute of Control and Computation Engineering, University of Zielona Góra;
Ralf Stetter*
Affiliation:
University of Applied Sciences Ravensburg-Weingarten
Marcin Witczak
Affiliation:
Institute of Control and Computation Engineering, University of Zielona Góra;
*
Contact: Stetter, Ralf, University of Applied Sciences Ravensburg-Weingarten, Mechanical Engineering, Germany, ralf.stetter@hs-weingarten.de

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In recent years, more and more technical systems dispose of some form of intelligence which allows to control and diagnose the processes and states in such systems. One important prerequisite for both control and diagnosis is monitoring, i.e. a systematic observation, surveillance or recording of entities of a technical product or its surroundings by any technical means. Current investigations were able to clarify that the design of a technical system can ease the control and diagnosis of this system. The same is true for monitoring; this fact will be demonstrated in this paper on the example of a research vehicle which is intended to foster the development of mapping systems and algorithms. In a sense, the main objective of this vehicle is also a kind of monitoring. Due to its unique design, this vehicle is able to navigate on all kind of terrains. It is equipped with several forms of sensors, which are consciously mounted at certain positions on the vehicle in order to allow a detailed detection of the surroundings. The investigation, how design can ease monitoring, was supported by a well-known model of product concretization and concrete insights could be found on all levels.

Keywords

Design for X (DfX)Systems Engineering (SE)Mechatronics
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2833 - 2842
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Åström, K. J. and Wittenmark, B. (2013), “Adaptive Control”, Courier Corporation.Google Scholar
Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. (2016), “Diagnosis and fault-tolerant control”, Springer.Google Scholar
Carryer, J. E., Ohline, R. M. and Kenny, T.W. (2010), “Introduction to mechatronic design”, Pearson.Google Scholar
Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H. and Stoddart, K. (2016), “A review of cyber security risk assessment methods for scada systems”, Computers & security, Vol. 56, pp. 1–27.Google Scholar
Ehrlenspiel, K. and Meerkamm, H. (2013), “Integrierte Produktentwicklung: Denkabläufe, Methodeneinsatz, Zusammenarbeit”, Hanser, München.Google Scholar
Eigner, M., Dickkopf, T. and Apostolov, H. (2018), “Interdsziplinäre Konstruktionsmethoden und - prozesse zur Entwicklung cybertronischer Produkte - Teil 1”, Konstruktion, pp. 84–90.Google Scholar
Eisenbart, B., Gericke, K., Blessing, T.M. and McAloone, T.C. (2017), “A dsm-based framework for integrated function modelling: concept, application and evaluation”, Research in Engineering Design, Vol. 28, pp. 25–51.Google Scholar
Frisk, E. and Krysander, M. (2008), “Sensor placement for maximum fault isolability”, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, Vol. 38 No. 6, pp. 1398–1410.Google Scholar
Holder, K., Zech, A., Ramsaier, M., Stetter, R., Niedermeier, H.-P., Rudolph, S. and Till, M. (2017), “Model-based requirements management in gear systems design based on graph-based design languages”, Applied Sciences, Vol. 7 No. 11, pp. 1112.Google Scholar
Hruschka, P. (2019), “Business analysis und requirements engineering: Produkte und Prozesse nachhaltig verbessern”, Carl Hanser Verlag GmbH Co KG.Google Scholar
Isermann, R. (2006), “Fault-diagnosis systems: an introduction from fault detection to fault tolerance”, Springer Science & Business Media.Google Scholar
Korbicz, J., Koscielny, J.M, Kowalczuk, Z. and Cholewa, W. (2012), “Fault diagnosis: models, artificial intelligence, applications”, Springer Science & Business Media.Google Scholar
Livotov, P. and Petrov, V. (2011), “TRIZ: Innovation and Inventive Problem Solving”, TriS Europe.Google Scholar
Pfenning, M. (2017), “Durchgängiges Engineering durch die Integration von PLM und MBSE”, Technische Universität Kaiserslautern.Google Scholar
Ponn, J. and Lindemann, U. (2011), “Konzeptentwicklung und Gestaltung technischer Produkte: systematisch von Anforderungen zu Konzepten und Gestaltlösungen”, Springer-Verlag.Google Scholar
Savitzky, A. and Golay, M.J.E. (1964), “Smoothing and differentiation of data by simplified least squares procedures”, Analytical chemistry, Vol. 36 No. 8, pp. 1627–1639.Google Scholar
Stetter, R. (2017), “Monitoring in product development”, In: Conference proceedings of the 14th european workshop on advanced control and diagnosis (ACD).Google Scholar
Stetter, R. (2019), “Fault-Tolerant Design and Control of Automated Vehicles and Processes”, Springer.Google Scholar
Stetter, R. and Phleps, U. (2011), “Design for diagnosis”, In: DS 68-5: Proceedings of the 18th International Conference on Engineering Design (ICED 11), Vol. 5, pp. 91–102.Google Scholar
Van Long, D.O., Fillatre, L. and Nikiforov, I. (2015), “Sequential monitoring of scada systems against cyber/physical attacks”, IFAC-PapersOnLine, Vol. 48 No. 21, pp. 746–753.Google Scholar
Witczak, M. (2014), “Fault diagnosis and fault-tolerant control strategies for non-linear systems”, Springer.Google Scholar