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A new time-independent reliability importance measure

Emanuele Borgonovo, Hananeh Aliee, Michael Glaß and Jürgen Teich

European Journal of Operational Research, 2016, vol. 254, issue 2, 427-442

Abstract: Modern digital systems pose new challenges to reliability analysts. Systems may exhibit a non-coherent behavior and time becomes an important element of the analysis due to aging effects. Measuring the importance of system components in a computationally efficient way becomes essential in system design. Herein, we propose a new importance measure for time-independent reliability analysis. The importance measure is based on the change in mean time to failure caused by the failure (success) of a component. It possesses some attractive properties: i) it is defined for both coherent and non-coherent systems; ii) it has an intuitive probabilistic and also geometric interpretation; iii) it is simple to evaluate. It turns out that the proposed importance measure leads naturally to a test of time consistency. We illustrate the properties with examples of coherent and non-coherent systems. A comparison with the ranking of other time-dependent and time-independent reliability importance measures is also offered. The realistic application to the reliability analysis of an H.264 video decoder concludes the work.

Keywords: Reliability; Importance measures; Mean time to failure; Time-dependent reliability analysis; Non-coherent systems (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (29)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:254:y:2016:i:2:p:427-442

DOI: 10.1016/j.ejor.2016.03.054

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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