TY - JOUR
T1 - Analysis of R-out-of-N repairable systems
T2 - The case of phase-type distributions
AU - Barron, Yonit
AU - Frostig, Esther
AU - Levikson, Benny
PY - 2004/3
Y1 - 2004/3
N2 - An R-out-of-N repairable system, consisting of N independent components, is operating if at least R components are functioning. The system fails whenever the number of good components decreases from R to R - 1. A failed component is sent to a repair facility. After a failed component has been repaired it is as good as new. Formulae for the availability of the system using Markov renewal and semi-regenerative processes are derived. We assume that either the repair times of the components are generally distributed and the components' lifetimes are phase-type distributed or vice versa. Some duality results between the two systems are obtained. Numerical examples are given for several distributions of lifetimes and of repair times.
AB - An R-out-of-N repairable system, consisting of N independent components, is operating if at least R components are functioning. The system fails whenever the number of good components decreases from R to R - 1. A failed component is sent to a repair facility. After a failed component has been repaired it is as good as new. Formulae for the availability of the system using Markov renewal and semi-regenerative processes are derived. We assume that either the repair times of the components are generally distributed and the components' lifetimes are phase-type distributed or vice versa. Some duality results between the two systems are obtained. Numerical examples are given for several distributions of lifetimes and of repair times.
KW - Availability
KW - Down time
KW - Markov renewal process
KW - Phase-type distribution
KW - Regenerative point
KW - Semi-regenerative point
KW - Up time
UR - http://www.scopus.com/inward/record.url?scp=1842614214&partnerID=8YFLogxK
U2 - 10.1239/aap/1077134467
DO - 10.1239/aap/1077134467
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AN - SCOPUS:1842614214
SN - 0001-8678
VL - 36
SP - 116
EP - 138
JO - Advances in Applied Probability
JF - Advances in Applied Probability
IS - 1
ER -