Component importance based on dependence measures

Mario Hellmich ()
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Mario Hellmich: Bundesamt für kerntechnische Entsorgungssicherheit (Federal Office for the Safety of Nuclear Waste Management)

Mathematical Methods of Operations Research, 2018, vol. 87, issue 2, No 3, 229-250

Abstract: Abstract We discuss the construction of component importance measures for binary coherent reliability systems from known stochastic dependence measures by measuring the dependence between system and component failures. We treat both the time-dependent case in which the system and its components are described by binary random variables at a fixed instant as well as the continuous time case where the system and component life times are random variables. As dependence measures we discuss covariance and mutual information, the latter being based on Shannon entropy. We prove some basic properties of the resulting importance measures and obtain results on importance ordering of components.

Keywords: Reliability theory; Component importance measure; Binary coherent system; Stochastic dependence; Entropy (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s00186-017-0617-x

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