Reliability analysis with parametric and non parametric ranking of buck converter components

R. Alla, G. L. Pahuja, J. Lather
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Abstract

In system reliability analysis component importance plays major role for prioritizing the components in the system to improve the reliability, risk and maintenance planning. Maintenance of all the risky equipments is necessary to ensure successful operation of any system. Different importance measures are available to compute the rank of the component for improving the system reliability and maintenance planning. In this paper a set of seven existing importance measures and a non parametric ranking tool i.e Copeland Score (CS) method have been extended to analyze reliability improvement and component maintenance priority of the system. Also buck converter system effectiveness with CS method in comparison to the different existing measures has been advanced to rank the components of buck converter and use the ranking for prioritizing reliability improvement and maintenance of components of the system. It is observed that the CS method based ranking results better guidance for improving system reliability and planning activity of different components of the buck converter maintenance.
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buck变换器部件参数与非参数排序的可靠性分析
在系统可靠性分析中,组件重要性对系统中的组件进行优先排序,以提高系统的可靠性、风险和维护计划。维护所有的危险设备是必要的,以确保任何系统的成功运行。采用不同的重要度度量来计算部件的等级,以提高系统的可靠性和维护计划。本文将现有的7个重要度量和非参数排序工具Copeland评分法扩展到系统可靠性改进和部件维修优先级分析中。此外,还提出了用CS方法对降压变换器系统的有效性进行了比较,并对降压变换器的部件进行了排序,并利用排序对系统部件的可靠性改进和维护进行了优先排序。结果表明,基于CS方法的排序对提高系统可靠性和规划降压变流器不同部件的维护活动具有较好的指导作用。
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