This paper proposes an optimal failure-finding interval (FFI) model based on maximizing expected availability. The model can be viewed as an extension and improvement to the model presented in Moubray (1997). Nume...This paper proposes an optimal failure-finding interval (FFI) model based on maximizing expected availability. The model can be viewed as an extension and improvement to the model presented in Moubray (1997). Numerical results are also included to illustrate the appropriateness of the proposed model.展开更多
This research article is based on a study of optimal frequency to the repairable system due to the failure finding interval to maximize as well as minimize the availability of some components devices. We studied toget...This research article is based on a study of optimal frequency to the repairable system due to the failure finding interval to maximize as well as minimize the availability of some components devices. We studied together maintenance and corrective actions that carried out item of failure and periodic failure finding designed to check whether a system is still working. The model is proved as well as useful application in detecting the problem related to finding failure tasks of different scheme devices by maximization. The model formulated and the numerical application to the relevant mathematical model have been discussed to demonstrate the article quality. Therefore based on probability analytic development, the optimal maintenance policy is then obtained as solution of an optimization problem in which the maintenance cost rate is the objective function and the risk of corrective maintenance is the constraint function. Finally, the solution to the optimal device in the considered development model has been well adjusted due to derivation to the experimental observation rather than theory which will be taken into consideration in the next applied practical design research related and the system device provided that, the proactive device agreed with using the exponential distribution to the survive distribution function which can not be considered as valid.展开更多
根据采集的民用航空发动机热端组件系统检修信息和专家对系统退化状态的判别,在系统状态退化过程为离散半马尔可夫链过程的假设前提下,分别建立了基于专家估计数据、基于检查数据以及基于融合数据的各宏观退化状态驻留时间估计模型,并...根据采集的民用航空发动机热端组件系统检修信息和专家对系统退化状态的判别,在系统状态退化过程为离散半马尔可夫链过程的假设前提下,分别建立了基于专家估计数据、基于检查数据以及基于融合数据的各宏观退化状态驻留时间估计模型,并应用最大似然函数法和MCMC(Markov chain Monte Carlo)法对模型参数进行估计,得到基于不同数据源的各宏观退化状态下驻留时间估计值和状态转移系数,并以一定使用周期内的检修费用最优为目标建立状态转移概率模型,仿真得到3个典型宏观退化状态下的最优检查间隔分别为1750、350、70循环。该仿真结果与目前的民航运行生产工程实际情况非常接近,可以为民航运输企业的检修决策提供客户化的决策支持并提高经济效益。展开更多
文摘This paper proposes an optimal failure-finding interval (FFI) model based on maximizing expected availability. The model can be viewed as an extension and improvement to the model presented in Moubray (1997). Numerical results are also included to illustrate the appropriateness of the proposed model.
文摘This research article is based on a study of optimal frequency to the repairable system due to the failure finding interval to maximize as well as minimize the availability of some components devices. We studied together maintenance and corrective actions that carried out item of failure and periodic failure finding designed to check whether a system is still working. The model is proved as well as useful application in detecting the problem related to finding failure tasks of different scheme devices by maximization. The model formulated and the numerical application to the relevant mathematical model have been discussed to demonstrate the article quality. Therefore based on probability analytic development, the optimal maintenance policy is then obtained as solution of an optimization problem in which the maintenance cost rate is the objective function and the risk of corrective maintenance is the constraint function. Finally, the solution to the optimal device in the considered development model has been well adjusted due to derivation to the experimental observation rather than theory which will be taken into consideration in the next applied practical design research related and the system device provided that, the proactive device agreed with using the exponential distribution to the survive distribution function which can not be considered as valid.
文摘根据采集的民用航空发动机热端组件系统检修信息和专家对系统退化状态的判别,在系统状态退化过程为离散半马尔可夫链过程的假设前提下,分别建立了基于专家估计数据、基于检查数据以及基于融合数据的各宏观退化状态驻留时间估计模型,并应用最大似然函数法和MCMC(Markov chain Monte Carlo)法对模型参数进行估计,得到基于不同数据源的各宏观退化状态下驻留时间估计值和状态转移系数,并以一定使用周期内的检修费用最优为目标建立状态转移概率模型,仿真得到3个典型宏观退化状态下的最优检查间隔分别为1750、350、70循环。该仿真结果与目前的民航运行生产工程实际情况非常接近,可以为民航运输企业的检修决策提供客户化的决策支持并提高经济效益。