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Hazardous Failure Rate of the Safety Function

  • Karol RástočnýEmail author
  • Juraj Ždánsky
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 531)

Abstract

Quantitative assessment of safety function integrity against random failures is necessary assumption for railway signalling system acceptance and its implementation into operation. The railway signalling system can be modelled as continuous mode system and therefore the criterion for quantitative assessment safety integrity of safety function is hazardous failure rate. Most of commonly available software tools for evaluation of the RAMS parameters offer calculation of safety function failure probability, but don’t offer direct calculation of safety function failure rate. The paper is focused on some of problems associated with comparing the exact analytical solution and approximate calculation of safety function failure rate due to presence of random failures. This approach can be successfully applied to “manual” calculation of also complex analytical terms. The proposed method is based on the generally accepted assumption that occurrence of random failures of electronic systems corresponds to an exponential distribution law.

Keywords

Failure rate Exponential distribution Safety function Signalling system 

Notes

Acknowledgement

This work has been supported by the scientific grant agency VEGA, grant No. VEGA-1/0035/15 “Analysis of operator – control system interaction effect on the controlled process’ safety” (50 %) and also by the project of the Educational Grant Agency of the Slovak Republic (KEGA) Number: 005ŽU-4/2015: Modernization of technologies and methods of education with a focus on control systems with safety PLC (50 %).

References

  1. 1.
    Rástočný, K., Pekár, L., Ždánsky, J.: Safety of signalling systems - opinions and reality. In: Mikulski, J. (ed.) TST 2013. CCIS, vol. 395, pp. 155–162. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    EN IEC 61508: Functional safety of electrical/electronic/programmable electronic safety-related systems (2010)Google Scholar
  3. 3.
    EN 50 129: Railway applications – communication, signalling and processing systems – safety-related electronic systems for signaling (2003)Google Scholar
  4. 4.
  5. 5.
    http://www.ptc.com/product/windchill. Accessed 12 February 2015
  6. 6.
    Binti Abdullah, A., Shaoying, L.: Hazard analysis for safety-critical systems using SOFL. In: Proceedings of international conference Computational Intelligence for Engineering Solutions (CIES), pp. 133–140 (2013). ISBN 978-1-4673-5851-4Google Scholar
  7. 7.
    Rástočný, K., Ilavský, J.: What is concealed behind the hazardous failure rate of a system? In: Mikulski, J. (ed.) TST 2011. CCIS, vol. 239, pp. 372–381. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Briones, J.F., de Miguel, M., Silva, J.P., Alonso, A.: Integration of safety analysis and software development methods. In: Proceedings of International Conference System Safety, pp. 275–284 (2006). ISBN 0 86341 646Google Scholar
  9. 9.
    Mhenni, F., Nga, N., Choley, J.-Y.: Automatic fault tree generation from SysML system models. In: Proceedings of international conference Advanced Intelligent Mechatronics, pp. 715–720 (2014)Google Scholar
  10. 10.
    Pan, H., Tu, J., Zhang, X., Dong, D.: The FTA based safety analysis method for urban transit signal system. In: Proceedings of International Conference Reliability, Maintainability and Safety (ICRMS), pp. 527–532 (2011). ISBN 978-1-61284-664-4Google Scholar
  11. 11.
    Mikulski, J.: Malfunctions of railway traffic control systems - failure rate analysis. In: Proceedings of International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, pp. 141–147 (2002). ISBN 1-85312-915-1Google Scholar
  12. 12.
    Mechri, W., Simon, C., Bicking, F., Ben Othman, K.: Probability of failure on demand of safety systems by multiphase Markov chains. In: Proceedings of International Conference Control and Fault-Tolerant Systems, pp. 98–103 (2013). ISBN 978-1-4799-2855-2Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering, Department of Information and Control SystemsUniversity of ŽilinaŽilinaSlovakia

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