On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation
Abstract
Failure modelling and reliability assessment of repairable systems has been receiving a great deal of attention due to its pivotal role in risk and safety management of process industries. Meanwhile, the level of uncertainty that comes with characterizing the parameters of reliability models require a sound parameter estimator tool. For the purpose of comparison and cross-verification, this paper aims at identifying the most efficient and...
Paper Details
Title
On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation
Published Date
Mar 1, 2020
Volume
135
Pages
157 - 165
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