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A Bayesian approach to an adaptive preventive maintenance model

机译:自适应预防性维修模型的贝叶斯方法

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摘要

In tis paper we consider a Bayesian theoretic approach to determine an optimal adaptive preventive maintenance policy with minimal repair. By incorporating minimal repair, maintenance and replacement, the mathematical formulas of the expected cost per unit time are obtained. When the failure density is Weibull with uncertain parameters, a Bayesian approach is established to formally express and update the uncertain parameters for determining an optimal adaptive preventive maintenance policy. Furthermore, various special cases of our model are discussed in detail.
机译:在本文中,我们考虑了一种贝叶斯理论方法,以最少的维修来确定最佳的自适应预防性维护策略。通过最少的维修,保养和更换,可获得单位时间预期成本的数学公式。当故障密度为具有不确定参数的威布尔时,建立了贝叶斯方法来正式表达和更新不确定参数,以确定最优的自适应预防性维修策略。此外,详细讨论了我们模型的各种特殊情况。

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