Skip to main content
SpringerLink
Log in

Modelling Reliability-Adaptive multi-system operation

  • Published:
International Journal of Automation and Computing Aims and scope Submit manuscript

Abstract

This contribution discusses the concept of Reliability-Adaptive Systems (RAS) to multi-system operation. A fleet of independently operating systems and a single maintenance unit are considered. It is the objective in this paper to increase overall performance or workload respectively by avoiding delay due to busy maintenance units. This is achieved by concerted and coordinated derating of individual system performance, which increases reliability. Quantification is carried out by way of a convolution-based approach. The approach is tailored to fleets of ships, aeroplanes, spacecraft, and vehicles (trains, trams, buses, cars, trucks, etc.) — Finally, the effectiveness of derating is validated using different criteria. The RAS concept makes sense if average system output loss due to lowered performance level (yielding longer time to failure) is smaller than average loss due to waiting for maintenance in a non-adaptive case.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. C. Dietl. Appling the Taylor Approach for Reliability Estimation of Drills. In Proceedings of the European Safety and Reliability Conference (ESREL 2005), Balkema, Leiden, vol. 1, pp. 447–452, 2005.

    Google Scholar 

  2. C. Dietl, U.K. Rakowsky. Reliability-Adaptive Tool Change Management of Transfer Lines. In Proceedings of the European Safety and Reliability Conference (ESREL 2005), Balkema, Leiden, vol. 1, pp. 453–458, 2005.

    Google Scholar 

  3. C. Dietl, U. K. Rakowsky. Reliability-Adaptive Control of Tool Wear in Transfer Lines. In Proceedings of the Joint Conferences “Probabilistic Safety Assessment and Management” and “European Safety and Reliability Conference” (PSAM 7 — ESREL 2004), Springer, London, pp. 3040–3047, 2004.

    Google Scholar 

  4. I. Pabst. Observability Criteria for Slow and Fast Reliability States within a Reliability Control System. In CD Proceedings of the Mathematical Theory of Networks and Systems Conference (MTNS 2004), MTNS, Leuven, Belgium, 2004.

    Google Scholar 

  5. I. Pabst, P.C. Müller. General Conditions for Online Estimation and Optimization of Reliability Characteristics. In Proceedings of the European Safety and Reliability Conference (ESREL 2005), Balkema, Leiden, vol. 2, pp. 1501–1507, 2005.

    Google Scholar 

  6. U. K. Rakowsky. An Introduction to Reliability-Adaptive Systems. In Proceedings of the European Safety and Reliability Conference (ESREL 2005), Balkema, Leiden, vol. 2, pp. 1633–1636, 2005.

    Google Scholar 

  7. U. K. Rakowsky. System Reliability, LiLoLe Publishing, Hagen, Germany, 2002. (in German)

    Google Scholar 

  8. U. K. Rakowsky, I. Pabst. On Modelling Reliability Properties in Descriptor Form. In Proceedings of the European Safety and Reliability Conference (ESREL 2003), Balkema, Lisse, pp. 1281–1288, 2003.

    Google Scholar 

  9. U. K. Rakowsky, D. Söffker. Combining Methods of Control Theory and Reliability Theory to Model Dynamic Systems. In GMA-Congress on Automation, VDI Report 1282, VDI Publishing, Düsseldorf, pp. 753–763, 1996. (in German)

  10. U. K. Rakowsky, D. Söffker. Real-Time Reliability Evaluation of Vibrating Mechanical Structures. In Proceedings of the 12th ASME Conference on Reliability, Stress Analysis, and Failure Prevention. Society for Machinery Failure Prevention Technology, Virginia Beach, USA, pp. 625–636, 1997.

    Google Scholar 

  11. D. Söffker, U. K. Rakowsky. Perspectives of Monitoring and Control of Vibrating Structures by Combining New Methods of Fault Detection with New Approaches of Reliability Engineering. In Proceedings of the 12th ASME Conference on Reliability, Stress Analysis, and Failure Prevention, Society for Machinery Failure Prevention Technology, Virginia Beach, USA, pp. 671–682, 1997.

    Google Scholar 

  12. D. Söffker, U. K. Rakowsky, P. C. Müller, O. H. Peters. Perspective Control Theory Methods for Monitoring Dynamical Systems under Safety and Reliability Engineering Aspects. Automatisierungstechnik, vol. 46, no. 6, pp. 295–301, 1998. (in German)

    Google Scholar 

  13. U. K. Rakowsky, W. G. Schneeweiss. On Reliability Analysis of Reconfigurating Systems. In German Reliability Conference (TTZ 2002), VDI Report 1713, VDI Publishing, Düsseldorf, pp. 324–340, 2002. (in German)

    Google Scholar 

  14. U. K. Rakowsky, W. G. Schneeweiss. Modelling Dependent Component Failures with Domino Effects. In Proceedings of the Joint Conferences “Probabilistic Safety Assessment and Management” and “European Safety and Reliability Conference” (PSAM 7 — ESREL 2004), Springer, London, pp. 926–931, 2004.

    Google Scholar 

  15. W. G. Schneeweiss, U. K. Rakowsky. The Design of Petri Nets for Multi-Phase Missions. In German Reliability Conference (TTZ 2002), VDI Report 1713, VDI Publishing, Düsseldorf, pp. 264–278, 2002. (in German)

    Google Scholar 

  16. W. G. Schneeweiss, U. K. Rakowsky. Designing Petri Nets for Systems with Component Failure Dependencies. In Proceedings of the Joint Conferences “Probabilistic Safety Assessment and Management” and “European Safety and Reliability Conference” (PSAM 7 — ESREL 2004), Springer, London, pp. 1345–1350, 2004.

    Google Scholar 

  17. International Electrotechnical Vocabulary — Chapter 191, Dependability and Quality of Service, IEC Standard 60050-191, 2nd Edition, 2002–05.

  18. F. W. Taylor. On the Art of Cutting Metals. Transactions of American Society of Mechanical Engineers, vol. 28, pp. 31–350, 1907.

    Google Scholar 

  19. O. Zinke, H. Seither. Resistors, Capacitors, Coils, and their Materials, Springer, Berlin, 1982). (in German)

    Google Scholar 

  20. Reliability Prediction Procedure for Electronic Equipment, Telcordia Standard SR-332 Issue, 1, 2001–05.

  21. Failure rates of components, Siemens Standard SN 29500-1 to 14, 1982–1999.

  22. Nonelectronic Parts Reliability Data, Reliability Analysis Center Standard RAC-STD-6200, NPRD-95, 1995.

Download references

Author information

Authors and Affiliations

  1. Vossloh Kiepe, V62 RAMS/LCC, Düsseldorf, D-40599, Germany

    Uwe K. Rakowsky

  2. Department D, Safety Engineering, University of Wuppertal, Wuppertal, D-42097, Germany

    Uwe K. Rakowsky

Authors
  1. Uwe K. Rakowsky
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Uwe K. Rakowsky received an Engineering Diploma and Doctor of Engineering degree in safety engineering in 1988 and 1991 respectively, and was granted venia legendi in safety and reliability engineering in 2000 from the University of Wuppertal, where he served as an Assistant Professor in the Transportation System Safety Section from 1992 to 2000. He was a visiting Professor at the University College at Stord/Haugesund in Norway in 1996, and a visiting researcher at the University of Tokyo from 1998 to 1999. Since 2000 he has been a RAMS program manager with Vossloh Kiepe in Düsseldorf (Germany), a company producing electric equipment for locomotives, light rail vehicles, and electric buses. He has published three books, and more than thirty papers. He is a member of several international and German engineering and scientific societies.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rakowsky, U.K. Modelling Reliability-Adaptive multi-system operation. Int J Automat Comput 3, 192–198 (2006). https://doi.org/10.1007/s11633-006-0192-8

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11633-006-0192-8

Keywords

Search

Navigation