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Electronic Reliability Estimation: How Reliable Are the Results?

  • Nuno Silva
  • Rui Lopes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7613)

Abstract

The development of Safety Critical Systems requires the compliance to several safety standards and regulations. Since, most of the times, human life is at stake, it is crucial to fully understand the behaviour of the system being developed in order to predict and avoid any potential deadly failures. The system shall be therefore resilient and reliable.

The understanding of such systems is not an easy task. Safety Critical Systems are, nowadays, large-scale and complex systems that require a methodological approach in order to fully comprehend all its functionalities and interactions. Several reliability analyses are performed in the development of such systems. The reliability analysis of all electronic equipment is one of them. The ability to predict the failure profile of electronic components is essential to design the system and plan maintenance activities.

This paper presents the preliminary reliability estimation activities of an electronic system designed for a large-scale and complex safety critical system. The standards and methodologies followed are described as well as the tools used to support the activities. Finally, the estimation results and a list of considerations regarding the activities performed are presented.

Keywords

Reliability Estimation MIL-Hdbk-217F MTTF 

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References

  1. 1.
    Military Handbook: Reliability Prediction of Electronic Equipment – Notice 2, MIL-Hdbk-217F-N2 (February 1995)Google Scholar
  2. 2.
    Lambda Predict User’s Manual, Reliasoft (2009)Google Scholar
  3. 3.
    O’Connor, P., Kleyner, A.: Practical Reliability Engineering, 5th edn. John Wiley (2012)Google Scholar
  4. 4.
    CENELEC EN 50126: Railway applications — The specification and demonstration of Reliability, Availability, Maintainability and Safety (RAMS) (1999-2007) Google Scholar
  5. 5.
    Handbook of 217PlusTM Reliability Prediction Model, RIAC-HDBK-217Plus, RIAC (May 26, 2006) Google Scholar
  6. 6.
    Why you cannot predict Electronic Product Reliability, Lambda Consulting, 2012 ARS – Europe (March 2012) Google Scholar
  7. 7.
    Pattavina, J.S., Harris Corporation: Tutorial of Analyzing High Reliability: Part 1 (October 2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Nuno Silva
    • 1
  • Rui Lopes
    • 1
  1. 1.Critical Software S.ACoimbraPortugal

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