Nowadays, the maintenance scheduling of equipment has been highly improved using condition monitoring (CM) systems. This paper determines the optimal inspection rate of circuit breakers equipped with CM using a novel mathematical procedure. To achieve this goal, in the first step, it is necessary to quantify the effect of CM on the early detection of minor failures of the equipment. Therefore, a mathematical formulation is provided to categorize and model the failures of the equipment based on their severity. Moreover, a new concept termed predictive maintenance (PDM) rate will be introduced and formulated in this paper. The PDM rate is applied in the maintenance process as the smart inspection rate of the equipment. In the second step, this paper proposes a new combined preventive and predictive maintenance Markov model. By developing the formulation of the proposed Markov model, an optimization problem is formed. In this optimization problem, the annual maintenance cost serves as the objective function and the inspection rates represent the decision variables. The comprehensive statistical study on the failures of 400kv‐CB of KREC in Iran and the implementation of the proposed method indicates that the CM and optimal inspection of the CB not only enhances the lifetime of the CB by 19.48 years but also lower the annual maintenance cost by 19%.

中文翻译：

---

使用新的维修马尔可夫模型确定配备状态监测装置的断路器的最佳检查率

如今，使用状态监测（CM）系统已大大改善了设备的维护计划。本文采用一种新颖的数学方法确定了配备CM的断路器的最佳检查率。为了实现此目标，第一步，必须量化CM对及早发现设备轻微故障的影响。因此，提供了数学公式以基于设备的严重性对设备的故障进行分类和建模。此外，本文将介绍并制定一个称为“预测性维护（PDM）率”的新概念。PDM速率在维护过程中作为设备的智能检查速率应用。在第二步中，本文提出了一种新的预防性和预测性维护马尔可夫组合模型。通过开发提出的马尔可夫模型的公式，形成一个优化问题。在这个优化问题中，年度维护成本作为目标函数，而检查率则代表决策变量。对伊朗KREC的400kv‐CB故障进行的全面统计研究以及所提出方法的实施表明，CM和对CB的最佳检查不仅可以将CB的寿命延长19.48年，而且还可以降低年度维护成本减少了19％