A MONTE-CARLO SIMULATION ALGORITHM FOR FINDING MTBF

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Prediction of mean time between failures (MTBF) is an important aspect of the initial stage of system development. However, it is often difficult to predict system MTBF during a given time since the component failure processes are extremely complex. This paper presents a Monte Carlo simulation algorithm to calculate the MTBF during a given time of a binary coherent system. The algorithm requires the lifetime distributions of the components and the minimal path sets of the system. The MTBF for a specific time interval, eg, a month or a year, can be estimated. If the component lifetime distributions are unknown, then a lower bound of system MTBF can be estimated by using known constant failure rates for each component.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1992-06
Language
English
Article Type
Article
Keywords

SYSTEMS; RELIABILITY; TIME

Citation

IEEE TRANSACTIONS ON RELIABILITY, v.41, no.2, pp.193 - 195

ISSN
0018-9529
URI
http://hdl.handle.net/10203/65930
Appears in Collection
MT-Journal Papers(저널논문)
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