休哈特控制图

休哈特控制图在现代制造业中不适应性研究

Study on the Inadaptability in Modern Manufacturing Based on Shewhart Control Chart

基于休哈特控制图的制造过程质量监控系统

The quality monitoring system of manufacturing process based on the Shewhart control chart

可以证明，BP神经网络对自相关统计过程的控制能力高于休哈特控制图、残差控制图。

Can proof , the BP neural network on the relevant statistical process control ability than Hugh hart control charts , residual control chart .

VSIQ控制图可以解决经典休哈特控制图在样本数据缺乏的情况下不能应用的问题，并且可以加快检出速度。

Different form classical Shewhart control chart , VSI Q control charts can be employed to solve problems without sufficient data , so as to find out variation rapidly .

本文首先以信噪比、ARL和报警概率分析了休哈特控制图监测过程均值漂移和偏移的性能。

Firstly , we analyzed the performance of Shewhart chart monitoring shift and draft of process mean based on the parameters of signal-to-noise ratio , ARL , and alarm rates .

休哈特控制图原理在医疗安全信息报告中的应用探讨

The application of principle of Shewhart control charts in patient safety reporting system

经典的休哈特控制图对质量特征值的均值波动检出力较弱。

Traditional Shewhart control charts have low power in detecting mean shift of quality characteristics under control .

在小批量生产过程中，由于样本量少，无法采用常规的休哈特控制图进行控制。

In producing process of small batch , we don 't control the producing process with the Shewhart control charts for small sample size .

研究结果：利用不可修复可靠性串联模型与休哈特控制图建立预警控制界限，建立时间序列回归判别模型。

The forewarning control limits and time series regression judgment model are built up based on the reliability series model in a non-repairable system and Shewhart control charts .

一般的休哈特控制图只能控制一个因素。

In this paper a kind of control chart is developed which is able to control two factors , while generally Shewhart 's Control Chart has only one variate .

通过实例研究和比较，在诊断准确性方面，本文的方法要优于多层感知神经网和多变量休哈特控制图。

Through the case study and comparison , we find our method excel the multilayer perception ( MLP ) and the multivariate Shewhart chart ( MSCH ) in the diagnosis accuracy .

通过分析小批量生产的特点，得出了传统的休哈特控制图难以应用在小批量生产条件下进行质量控制的结论。

Based on the analysis on the characteristics of small batch production , it is concluded that the traditional Shewhart control chart is not suitable for quality control of small batch production .

当生产过程存在自相关时，休哈特控制图常常出现失效，使得控制图的监测效果受到很大的影响，并导致人力、财力和物力的极大浪费。

When autocorrelation exists in the production process , the Shewhart control chart is often disabled , and its detection performance has been greatly affected , resulting in human , financial and material resources of a great waste .

本文首先分析了休哈特控制图不能用于小批量生产过程控制的原因，从而提出了一种判断过程，尤其小批量生产过程稳定性的方法&时间序列回归判别法。

In this paper , the reasons that Shewhart Control Cart can not be used in controlling small batch production process will first analyzed , then a determined method of time series regression is proposed which can judge the stability of process and , especially small batch process .

由于休哈特X控制图要求所控制的质量属性服从正态分布，用其控制PCB元件位置偏移会出现误判。

Because Shewhart X chart requires that the quality character data should follow the normal distribution , wrong conclusions will he gotten , if X chart is used to control the position displacement of components .

在一定条件下，提出了一种新的控制图&累积和和休哈特混合控制图，效果明显优于累积和控制图或休哈特控制图。

In some certain conditions , proposes a new chart & mixture chart of CUSUM and Shewhart , its effect is better than the any one of the two charts .

休哈特提出的质量控制图是统计过程控制的一种重要工具，在质量控制领域得到了广泛应用。

Control chart developed by W.A.Shewhart is an important tool of statistical process control widely used in quality control field .