نتایج جستجو برای: preventive maintenance pm systems
تعداد نتایج: 1387296 فیلتر نتایج به سال:
This study applies periodic preventive maintenance (PM) to a repairable production system with major repairs conducted after a failure. This study considers failed PM due to maintenance workers incorrectly performing PM and damages occurring after PM. Therefore, three PM types are considered: imperfect PM, perfect PM and failed PM. Imperfect PM has the same failure rate as that before PM, where...
If a component in binary system fails, preventive maintenance (PM) on other components may be conducted while the failed is being repaired. This raises question which should selected for PM if resource limited. The can answered by using priority (CMP) to prioritise PM. paper extends definition of CMP cases multi-state systems, continuum systems and non-coherent respectively. It investigates app...
High-Variety, Low-Volume (HVLV) manufacturing systems are built to produce parts of several types in small quantities and under multiple production objectives. They relate to job-shop systems well known by researchers. One of the most studied assumptions of HVLV systems scheduling is considering that machines may be periodically unavailable during the production scheduling. This article deals w...
In order to perform Preventive Maintenance (PM), two approaches have evolved in the literature. The traditional approach is based on the use of statistical and reliability analysis of equipment failure. Under statistical-reliability (S-R)-based PM, the objective of achieving the minimum total cost is pursued by establishing fixed PM intervals, which are statistically optimal, at which to replac...
Based on the theoretical model, a numerical method is usually necessary for obtaining the optimal preventive maintenance (PM) policy for a deteriorating system since the theoretical model becomes complicated when the system’s hazard rate function is changed after each PM. It makes the application of the theoretical model not suitable for real cases. Moreover, the theoretical model assumes using...
Preventive maintenance (PM) is an effective approach to promoting reliability. Time-based and condition-based maintenance are two major approaches for PM. No matter which approach is adopted for PM, whether a failure can be early detected or even predicted is the key point. This paper presents the experimental results of a failure prediction method for preventive maintenance by state estimation...
The component’s reliability is a function of component age during a system’s operating life. Component aging is strongly affected by maintenance activities performed on the system.Two categories of maintenance activities are considered in this work: Corrective maintenance (CM) and preventive maintenance (PM). We expound a new method to integrate the effect of CM while planning for the preventiv...
background: nowadays medical equipment plays an important role in the treatment and in the medical education. using outdated preventive maintenance (pm) system may cause problems in the cutting edge medical equipment, nervous system disease’s equipment (in diagnosis and treatment) which are crucial for every medical center. based on above facts we focused on nervous system treat units’ equipmen...
This paper studies reliability for multi-component systems subject to dependent competing risks of degradation wear and random shocks, with distinct shock sets. In practice, many systems are exposed to distinct and different types of shocks that can be categorized according to their sizes, function, affected components, etc. Previous research primarily focuses on simple systems with independent...
In real-world environments it is usually difficult to specify the quality of a preventive maintenance (PM) action precisely. This uncertainty makes it problematic to optimise maintenance policy. This problem is tackled in this paper by assuming that the quality of a PM action is a random variable following a probability distribution. Two frequently studied PM models, a failure rate PM model and...
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