A Statistical Analysis Method for Reliability Data of Aerospace Components Based on Association Rules

Chengzhi Jiang, Xiaoming Fan
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引用次数: 1

Abstract

In this paper, as the aerospace components reliability test data resources are rich, randomness, characteristics of discrete, draw lessons from the analysis of large data, in this paper, a method based on association rule mining data statistical analysis is proposed, using this method, easily neglected, useful data model or rules can be excavated, this method provide data support for quality assurance model components.
基于关联规则的航天零部件可靠性数据统计分析方法
本文针对航空航天部件可靠性试验数据资源丰富、随机性、离散性的特点,借鉴大数据分析的经验,提出了一种基于关联规则挖掘数据统计分析的方法,利用这种方法,容易被忽略,可以挖掘出有用的数据模型或规则,该方法为部件的质量保证模型提供数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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