基于模糊逻辑的可靠性预测

K. K. Mohan, K. Seetharam
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引用次数: 0

摘要

可靠性是一个由于误解或误用基本语言而产生许多误解的领域。因此,了解基本概念和术语是很重要的。可靠性研究对于工程系统和设备的合理使用和维护至关重要。可靠性的一个实用定义是“在规定条件下运行的设备在给定时间内令人满意地工作的可能性”。可靠性预测是一个过程,通过使用一组成本最低的可靠性较低的组件来实现最高的可靠性,而不是只使用一个可靠性最高(成本最高)的组件。这种可靠性预测应用于模糊逻辑,在任何项目采购过程中都有很大的帮助。本文采用主成分分析的方法对三种不同的情况进行了分析。第一次分析以可靠性为主导因素,第二次分析以部件数量为主导因素,第三次分析以成本为主导因素。变量分析是识别潜在的维度,这可以在绩效相关现象中考虑。这是研究在发展的主成分分析方法[7][9]的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability prediction using fuzzy logic
Reliability is an area in which there are many misconceptions due to misunderstanding or misuse of the basic language. It is therefore important to get an understanding of the basic concepts and terminology. Reliability study is considered essential for proper utilization and maintenance of engineering systems and equipment's. A practical definition of reliability is “the probability that a piece of equipment operating under specified conditions shall perform satisfactorily for a given period of time”. Reliability prediction is a process by which highest reliability can be achieved by using a group of less reliable components with minimum cost instead of only one with highest reliability (and maximum cost). This reliability prediction is applied using fuzzy logic and this would help in a great way in any project procurement process. In this paper three different cases are carried out by means of principal component analysis. One analysis with reliability as predominant factor, second analysis with number of components as predominant factor and in third analysis cost as a predominant factor. The analysis of variables is to identify the dimension that is latent, which can be considered in the phenomena of performance correlation]. This is to study the effects in the developed principal component analysis approach [7[[9].
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