TY - JOUR
T1 - Algorithm for estimating reliability confidence bounds of multi-state systems
AU - Ramirez-Marquez, Jose Emmanuel
AU - Levitin, Gregory
PY - 2008/8
Y1 - 2008/8
N2 - The paper suggests an effective approach for the estimation of reliability confidence bounds based on component reliability and uncertainty data for multi-state systems with binary-capacitated components. The approach presented is based on the implementation of the universal generating function technique. When compared with a pure Monte Carlo simulation approach, the universal generating function (UGF)-based approach is proven to be more effective due to a more precise reliability estimation and a considerably lower computational effort. Examples are given throughout the paper to illustrate the suggested approach.
AB - The paper suggests an effective approach for the estimation of reliability confidence bounds based on component reliability and uncertainty data for multi-state systems with binary-capacitated components. The approach presented is based on the implementation of the universal generating function technique. When compared with a pure Monte Carlo simulation approach, the universal generating function (UGF)-based approach is proven to be more effective due to a more precise reliability estimation and a considerably lower computational effort. Examples are given throughout the paper to illustrate the suggested approach.
KW - Monte Carlo simulation universal generating function
KW - Multi-state systems
KW - Reliability confidence bounds
UR - http://www.scopus.com/inward/record.url?scp=40949129582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40949129582&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2007.07.003
DO - 10.1016/j.ress.2007.07.003
M3 - Article
AN - SCOPUS:40949129582
SN - 0951-8320
VL - 93
SP - 1231
EP - 1243
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
IS - 8
ER -