Skip to main content
Log in

Design of dynamic multi sensor systems

  • Machine Tool
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

Recent increase in machine automation, machine capability, and the performance of machining processes lead to high demands on process monitoring systems. In the Center of Production Engineering in Hannover Gentelligent® manufacturing systems are researched, which will be able to meet those requirements. One enabling factor for these systems is the “feeling” capability, achieved by multi sensor systems. This paper copes with the design of these systems. This includes on the one hand the development of sensor configurations and on the other hand a concept for sensor fusion. For the search of optimum sensor configurations a previously developed algorithm is extended to consider the dynamic behavior of the sensor systems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Luo RC, Yih C-C, Su KL (2002) Multisensor fusion and integration: approaches, applications, and future research directions. IEEE Sens J, Berlin

  2. Denkena B, Möhring H-C, Litwinski KM (2007) Design of multi sensor systems for gentelligent® process monitoring systems. In: 2nd international conference on experiments/process/system modelling/simulation and optimization—EpsMsO, Athens

  3. Denkena B, Möhring H-C, Litwinski KM (2007) Simulationsbasierte multisensorsystemauslegung, autonome mobile systeme, Kaiserslautern

  4. Denkena B, Litwinski KM (2007) Gentelligente Komponenten für Werkzeugmaschinen, Kolloquium des Sonderforschungsbereichs 653—Gentelligente Bauteile im Lebenszyklus

  5. Litwinski KM, Denkena B, Möhring H-C (2008) Optimum design of multi sensor systems, 7. In: Internationals Heinz Nixdorf symposium, Paderborn

  6. Cobb RG, Liebst BS (1997) Sensor placement and structural damage identification. Am Inst Aeronaut Astronaut J 35

  7. Welch G, Bishop G (2001) An introduction to Kalman filter, Siggraph Course

  8. Ordys AW, Pike AW (1998) State space generalized predictive control incorporating direct through terms. In: Proceedings of the 37th IEEE conference on decision and control, Tampa

  9. Denkena B, Hasenfuß K, Liedtke C (2005) Gentelligente Bauteile—Genetik und intelligenz in der produktionstechnik, ZWF—Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol 100. No 10, pp 569–572, Carl Hanser Verlag, Munich

Download references

Acknowledgments

The authors want to thank the German Research Foundation (DFG) for funding this research within the Collaborative Research Center 653.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. M. Litwinski.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Denkena, B., Möhring, HC. & Litwinski, K.M. Design of dynamic multi sensor systems. Prod. Eng. Res. Devel. 2, 327–331 (2008). https://doi.org/10.1007/s11740-008-0102-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-008-0102-8

Keywords

Navigation