基于大数据的元器件质量控制技术研究

Research on Component Quality Control Technology based on Big Data

为解决传统元器件质量控制技术控制偏度系数高的问题,设计基于大数据的元器件质量控制技术。获取元器件质量信息,基于大数据非结构化表示若干个小的数据集合,标准化处理元器件质量信息,分析元器件质量数据可靠性特征,得出元器件质量控制方程式,实现元器件质量控制。设计实例分析,结果表明,设计的质量控制技术在相同的测试时间中控制偏度系数相较于实验对照组更接近标准偏度系数,能够传统技术控制偏度系数高的问题。

In order to solve the problem of high skewness coefficient of traditional component quality control technology,a component quality control technology based on big data was designed.Obtain component quality information,represent several small data sets based on big data unstructured,process component quality information in a standardized way,analyze the reliability characteristics of component quality data,obtain component quality control equation,and realize component quality control.Analysis of design examples shows that the designed quality control technology is closer to the standard skewness coefficient than the experimental control group in the same test time,and can control the problem of high skewness coefficient with traditional technology.