About: Mean down time is a research topic. Over the lifetime, 78 publications have been published within this topic receiving 729 citations. The topic is also known as: MDT.
TL;DR: An algorithm is proposed to solve the previous problem for equipment that exhibit linearly increasing hazard rate and constant repair rate and based on this algorithm, another one is developed to solved the problem of maintenance management of a series system based on preventive maintenance over the different system components.
TL;DR: An approximation scheme is derived to compute the expected uptime, the expected downtime and the expected costs per time unit of the system, given the total number of units and the age-replacement value, Tpm.
TL;DR: A new formula for the frequency of system failure using a cut set approach, from which the numerical values can be obtained directly overcomes the drawback of Buzacott's method and is suitable for computer application.
Abstract: Two key indices in system reliability evaluation are the probability that the system is failed and the frequency of system failure. Other measures such as the mean cycle time and the mean down time can be easily derived from these quantities. This paper considers the reliability evaluation of a complex maintainable system using a cut set approach. The available literature on this subject generally deals with the failure probabilities. The technique proposed by Buzacott to determine the frequency of failure has the drawback that explicit formulae for system availability must be first derived. Numerical values are then obtained by further manipulation. This approach is, therefore, not suitable for computer application. The contribution of this paper is the development of a new formula for the frequency of system failure using a cut set approach, from which the numerical values can be obtained directly. This method overcomes the drawback of Buzacott's method and is suitable for computer application. Upper and lower bounds for frequency are also given and the method is illustrated by an example.
TL;DR: The optimal degradation stage for the preventive repair of the online unit is determined by taking into account the system availability and the incurred costs, as illustrated by a numerical example.
TL;DR: An algorithm deriving recursively in the number of repairmen the generator of the Markov process that governs the process is presented, and formulas for the point availability, the limiting availability, and the distribution of the down time and the up time are derived.