نتایج جستجو برای: preventive and corrective maintenance
تعداد نتایج: 16847184 فیلتر نتایج به سال:
The maintenance of a single unit system that alternates operating and idle periods is studied. In the former case the failures are detected as soon as they occur and only by special testing or inspection in the latter. This paper aims at minimizing the cost per unit of time for an infinite time span by selection of a unique interval, for both inspection and maintenance. A special feature of thi...
In this paper, we develop reliability and conditionbased maintenance models for a multi-component system of stents implanted in human arteries that is subject to both delayed and instantaneous failures. Considering the physics of failure and probability of failure, we develop a system-level reliability model and maintenance strategy by merging fracture mechanics and stochastic process approache...
The concept of stochastic-based accuracy and its calculation procedure for the case of corrective maintenance in data reconciliation-based systems were recently presented [Bagajewicz, M. (2005b). On a new definition of a stochastic-based accuracy concept of data reconciliation-based estimators. In: Proceedings of the 15th European symposium on computer-aided process engineering; Bagajewicz, M.,...
To estimate the corrective software maintenance effort, it is critical to know the factors that are most influential to the productivity of corrective maintenance activities. In this study, we analyzed activities and productivities of correcting 810 defects in one Norwegian software company and 688 defects in another Norwegian IT consulting company. We compared the profiles of defects that are ...
Introduction: Most critical accidents in different industries are observable, but their severity is also predictable and can be controlled. Provided that accident analysis is properly managed with a preventive approach and based on correct findings, in a principled and realistic manner, root causes, corrective actions, and safety measures regarding accidents are performed. Material and Methods...
In this paper, a single-product, single-machine system under Markovian deterioration of machine condition and demand uncertainty is studied. The objective is to find the optimal intervals for inspection and preventive maintenance activities in a condition-based maintenance planning with discrete monitoring framework. At first, a stochastic dynamic programming model whose state variable is the ...
Organizations are becoming more aware about the importance of economic, financial and risk management aspects of information system security. As a result, the balance between preventive and corrective security strategies must be studied. We understand Preventive Security as the ability of organizations to avoid the impact of an incident and Corrective Security as the ability of the firm to reco...
In Spain, the actual wind power capacity nearly reaches 20000 MW, what corresponds to a 16 % of the total capacity available to supply the electricity demand [1]. The amount of wind energy produced in the Spanish electric market has increased due to the construction of wind farms and to the improvement in their availability [2]. This improvement, is obtained by the analysis and continuous impro...
Unmanned autonomous cargo ships may change the maritime industry, but there are issues regarding reliability and maintenance of machinery equipment that yet to be solved. This article examines applicability Reliability Centred Maintenance (RCM) method for assessing needs on unmanned ships. The analysis shows RCM is generally applicable examination ships, also important limitations. lacks a syst...
The paper presents a new analytical algorithm which is able to carry out direct and exact reliability quantification of highly reliable systems with maintenance (both preventive and corrective). A directed acyclic graph is used as a system representation. The algorithm is based on a special new procedure which permits only summarization between two or more nonnegative numbers that can be very d...
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