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Simulation strategies to identify the failure parameters of repairable systems under the influence of general repair
Author(s) -
Love C. E.,
Guo R.
Publication year - 1994
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680100108
Subject(s) - reliability engineering , failure rate , computer science , process (computing) , identification (biology) , reliability (semiconductor) , engineering , power (physics) , botany , physics , quantum mechanics , biology , operating system
With repairable systems, it is suspected than many of the post‐failure repairs have the effect of partially resetting the failure rate of the system. Consequently, identifying the correct failure model and its associated parameters is confounded by the impact of these repair effects. The purpose of this paper is to compare the use of several simulation strategies involving mimicking experiments, to assist in this identification process. Data collected from a hydrelectric turbine unit is used to illustrate the approach.