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Hazardous Failure Rate of the Safety Function

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Book cover Tools of Transport Telematics (TST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 531))

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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.

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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 %).

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Correspondence to Karol Rástočný .

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Rástočný, K., Ždánsky, J. (2015). Hazardous Failure Rate of the Safety Function. In: Mikulski, J. (eds) Tools of Transport Telematics. TST 2015. Communications in Computer and Information Science, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-24577-5_28

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  • DOI: https://doi.org/10.1007/978-3-319-24577-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24576-8

  • Online ISBN: 978-3-319-24577-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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