Mechatronic Machine Elements: On Their Relevance in Cyber-Physical Systems

  • Marius StücheliEmail author
  • Mirko Meboldt
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)


This paper discusses the appearance of mechatronic machine elements (MME) in the greater context of cyber-physical systems (CPS). For this purpose it establishes classifications for CPS. Three groups of MME are identified, characterized and illustrated with examples. Regarding the advantages of MME, the text explains how they allow for new functions in mechanical systems and how they help to reduce the development effort for complex products. As desirable characteristics for MME in general are identified independent communication abilities, “plug-and-play” integration in networks and mechanics and the preprocessing of sensor data on the element itself. CPS with specifically designed MME can further become a valuable tool in product development for information collection.


Cyber-Physical Systems Mechatronics Machine Elements Product Development 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Lee, E.A., Seshia, S.A.: Introduction to Embedded Systems: A Cyber-Physical Systems Approach, 1st edn. (2011)Google Scholar
  2. 2.
    Tabuada, P.: Cyber-Physical Systems: Position Paper. In: NSF Workshop on Cyber-Physical Systems, Austin, TX (2006)Google Scholar
  3. 3.
    Schmid, G.: Roller Bearing With Integrated Rotary Shaft Encoder. Patent WO 2008/006645 A1Google Scholar
  4. 4.
    Schweitzer, G.: Mechatronics - A Concept With Examples in Active Magnetic Bearings. Mechatronics 2(1), 65–74 (1992)CrossRefGoogle Scholar
  5. 5.
    Rajkumar, R., Lee, I., Sha, L., Stankovic, J.: Cyber-Physical Systems: The Next Compu-ting Revolution. In: Proceedings of the 47th Design Automation Conference, Anaheim, CA, June 13-18 (2010)Google Scholar
  6. 6.
    Work, D., Bayen, A., Jacobson, Q.: Automotive Cyber Physical Systems in the Context of Human Mobility. In: National Workshop on High-Confidence Automotive, Troy, MI (2008)Google Scholar
  7. 7.
    Guinard, D., Trifa, V.: Towards theWeb of Things: Web Mashups for Embedded Devices. In: Workshop on Mashups, Enterprise Mashups and Lightweight Composition on the Web (MEM 2009), Madrid, Spain (April 2009)Google Scholar
  8. 8.
    Freudenberg Simrit: Produktinformation Simmerring MSS1+ Condition Monitoring. Freudenberg Simrit GmbH & Co. KG, (accessed September 28, 2012)
  9. 9.
    Karavaev, Y., Abramov, I.V.: Building a knowledge base for intelligent control system of mechatronic machining center. In: Proceedings of 14th International Conference on Mechatronics MECHATRONIKA, Trencianske Teplice, Slovakia, June 1-3, pp. 93–94 (2011)Google Scholar
  10. 10.
    Dickerhof, M.: Potentiale der Schallemissionsanalyse zur Überwachung und Diagnose tribologischer Systeme. Doctoral thesis, Karlsruher Institut für Technologie (KIT) (2011)Google Scholar
  11. 11.
    Wolf, S., Hirzinger, G.: A new variable stiffness design: Matching requirements of the next robot generation. In: IEEE International Conference on Robotics and Automation, ICRA, May 19-23, pp. 1741–1746 (2008)Google Scholar
  12. 12.
    Savioz, G., Perriard, Y.: Self-sensing of linear short-stroke actuators for multi-finger haptic interfaces using induced high frequency oscillations. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Kachsiung, July 11-14, pp. 764–769 (2012)Google Scholar
  13. 13.
    Hirzinger, G., Albu-Schaffer, A., Hahnle, M., Schaefer, I., Sporer, N.: On a new generation of torque controlled light-weight robots. In: IEEE International Conference on Robotics and Automation, ICRA, COEX, Seoul, Korea, pp. 3356–3363 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department Mechanical and Process Engineeringpd|z Product Development Group Zurich, ETH ZurichZurichSwitzerland

Personalised recommendations