International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

Reliability Comparative Evaluation of Active Redundancy vs. Standby Redundancy

James Li
Centre of Competence for Mass Transit AME, Bombardier Transportation, Kingston, Canada.

DOI https://dx.doi.org/10.33889/IJMEMS.2016.1.3-013

Received on August 02, 2016
  ;
Accepted on August 18, 2016

Abstract

Redundancy is a commonly applied reliability improvement technique to enhance the system reliability and availability of safety critical systems, or operational impact systems in the railroad and mass transit industry. In this paper, two very basic but different types of parallel redundancy, namely active redundancy and standby redundancy are introduced and studied according to the mechanism structure built in a system. The pros and cons of the active redundancy and standby redundancy are also discussed. The Markov model technique is utilized to illustrate the Mean Time Between Failure (MTBF) calculation for the active and standby redundancy for the purpose of reliability evaluation. The comparison is also undertaken for the active redundancy versus standby redundancy from a reliability point of view.

Keywords- Active redundancy, Standby redundancy, Markov model, MTBF.

Citation

Li, J. (2016). Reliability Comparative Evaluation of Active Redundancy vs. Standby Redundancy. International Journal of Mathematical, Engineering and Management Sciences, 1(3), 122-129. https://dx.doi.org/10.33889/IJMEMS.2016.1.3-013.

Conflict of Interest

Acknowledgements

References

Dakic, V. (2015). FTA vs. RBD – Differences and similarities for system modeling. In Proceeding Annual Reliability and Maintainability Symposium (RAMS), 2015, Florida, USA

Dersin, P. & Valenzuela, R. (2015). Engineering availability in systems-of-systems. In Proceeding Annual Reliability and Maintainability Symposium (RAMS), 2015, Florida, USA

Jackson, A. (2013, January). Reliability modeling that combines Markov analysis and Weibull distributions. In Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual (pp. 1-6). IEEE.

Klion, J. (1977). System periodically maintained. In A Redundancy Notebook (pp. 29-38). Rome Air Development Center Publishing.

Military Standard (2005). MIL-HDBK-338B Military Handbook Electronic Reliability Handbook, Notice 2 (pp. 344-350). Air Force Research Laboratory Information Publishing.

Mohammad, R., Kalam, A., & Amari, S. V. (2013, January). Reliability of load-sharing systems subject to proportional hazards model. In Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual (pp. 1-5). IEEE.

Mok, Y. L., Goh, C. H., & Segaran, R. C. (2013, January). Redundancy modeling for the X-Sat microsatellite system. In Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual (pp. 1-6). IEEE.

Nowizki, N., Zeiler, P., & Bertsche, B. (2016, January). Traversal time modeling of safety critical in-vehicle communication using reliability modeling techniques. In 2016 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-7). IEEE.

Reliability Information Analysis Center (2005). Hardware reliability modeling. In System Reliability Toolkit (p. 394). Reliability Information Analysis Center (RIAC) and Data Analysis Center for Software (DACS) Publishing.

Velasco, D. S., Kuhn, T., & Kemmann, S. (2013, January). Reliability analysis in model-driven development of embedded systems. In Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual (pp. 1-7). IEEE

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