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Survival Function in the Analysis of the Factors Influencing the Reliability of Water Wells Operation

机译:生存函数在影响水井运行可靠性的因素分析中

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摘要

In common studies on the groundwater intake reliability, suitable methods of statistical interference are usually employed in order to use the analysis and modelling results in relation to the entire population. Exponential distribution of random variables and events, Weibull distribution, normal, log-normal distribution as well as Poisson distribution are used most frequently. The distribution type of failure duration is identified on the basis of the data collected from a random investigated sample. The data collected for this purpose, apart from the object identification, usually pertain to the information on damages, service activities and intervals in operation. However, in some cases, additional data is required, because the reliability of water intakes is also influenced by the quality and quantity of water in the source. This is why, this paper will present an analysis of reliability data from a water supply sources consisting of deep wells taking into consideration additional, potential failure reasons. The aim of the study is to provide a tool of comparison of deep wells reliability, considering that the biggest differences between survival functions is a measure of reliability between objects.
机译:在关于地下水摄入可靠性的常规研究中,通常采用适当的统计干扰方法,以便对整个人口使用分析和建模结果。随机变量和事件的指数分布,威布尔分布,正态,对数正态分布以及泊松分布是最常用的。故障持续时间的分布类型是根据从随机调查样本中收集的数据确定的。为此,除了物体识别外,收集的数据通常还包括有关损坏,维修活动和运行间隔的信息。但是,在某些情况下,还需要其他数据,因为进水口的可靠性还受到水源中水的质量和数量的影响。因此,本文将对包括深井在内的供水源的可靠性数据进行分析,并考虑其他潜在的故障原因。该研究的目的是提供一种比较深井可靠性的工具,考虑到生存函数之间的最大差异是对象之间可靠性的度量。

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