控制图

P质量控制图在医疗安全监控预警系统中的应用研究

The P-Quality Control Chart applying in the medical safety monitoring system

烟用香精调配稳定性的X质量控制图监控

Monitoring of Tobacco Flavor Blend Stability by X Quality Control Chart

研究3种改进的BP算法在控制图模式识别中的应用。

This paper studies three kinds of BP algorithm on control chart pattern recognition .

两指标双F统计过程控制图

Two F Statistical Process Control Charts with 2 Indexes

对LED主波长测量过程做质量控制图分析。

The measurement process of LED dominant wavelengths is analyzed by means of the quality control chart .

MATLAB加VB实现实验室质量控制图的绘制

MATLAB and VB Realize the Controlled Draw of Quantity in the Laboratory

基于Matlab的质量控制图在汽配件制造中的应用

The Application of Quality Control Chart Based on Matlab in the Manufacture of Automobile Parts

Q控制图初始性能的改进

Improvement of initial performance of Q control chart

C（pk）写控制图的研究与应用

C_ ( pk ) and control chart and their applications

关于负二项分布的Q控制图

Q control chart for negative binomial distribution

用VC实现质量控制图的绘制与分析

Draw and analyze quality control chart with VC

监控VaR的模型风险的控制图方法

Control Chart Method Of Monitoring Model Risk of VaR

利用EXCEL制作质量控制图

Use EXCEL to Make Quality Control Charts

SPC的典型控制图的应用范围

The scope of application of the typical control charts of SPC

小批量多品种的SPC控制图研究

Research on the SPC Control Chart under the Multi-specification and Low Volume Production Condition

本文首先介绍报警线控制图的基本原理，通过马尔科夫链途径导出了该法中一个很重要参数&平均链长（AverageRunLength，ARL），并对遍历性进行了研究。

The authors introduced its principle , deduced the very important parameter & Average Run Length ( ARL ) by using markov chain approach .

Weibull分布工序控制图

Control Charts for Weibull Processes

监测均值微小飘移的PP－CUSUM控制图以及短链过程的多元控制图。

The PP-CUSUM charts for detecting small mean shift ; and multivariate control charts for short-run processes .

阐述了质量控制图在COD快速在线测定仪中的应用原理及其实现方法。

In this paper , it is recommended that the application principle of the quality-controlled graph in the COD rapid on-line monitor and its realization method .

详细叙述了SPC技术的核心工具控制图技术及其在微电路生产中的应用。

The control chart being core tool of SPC technology and its application in microcircuit manufacture are described in detail .

可变抽样区间的非正态EWMA均值控制图

An EWMA Mean Control Chart With Variable Sampling Intervals under Non-normality

控制图技术可实现对模型风险VaR的的动态监控，易于理解、具有很强的应用潜力。

Control chart can monitor the performance of VaR model in a dynamic way and can be easily understood , so it has strong applied potential .

面向AMT生产环境的EWMA质量控制图

EWMA control chart in AMT environment

将控制图作为信息图用于趋势模式的提取，用模糊化的控制图模式数据构造训练集，将训练后的BP神经网络用来对趋势模式进行自动分类识别。

While universal control chart is used for extracting data sets of trend pattern , training data sets of neural network is made of fuzzy data from sampling data in universal control chart .

在建模的过程中可以发现，ANN的精确度比传统的模型高，所做出的资产评估也符合实际情况，这对今后的林分密度控制图的编制有重要的指导意义。

As a result , the accuracy of ANN model is higher than traditional one , which has an important significance for the future formulation of stand density control chart .

首先分析了半导体制造中颗粒污染的来源，然后介绍了用C控制图进行颗粒污染控制的方法及其不足，进而提出了用多元回归分析进行颗粒污染控制的方法及实施。

Particle source is analyses , and then it introduces the application of C control chart , as well as its shortage , at last brings forward the method of using multiple regression analysis to set control limits for the particles .

使用DCS顺序控制图，通过模块组态和内部编程，实现多台设备的自动控制，优化工艺过程，提高该工序的自动化水平。

Using DCS sequence control chart , it realized the autocontrol of multi device and inside programming . It optimized techniques process , improved the automatization level of this working procedure .

用2S控制图管理坝体的位移能及时发现坝体的异常变化。

The displacement of tailing dam be observed and investigated by " 2s " managing control sketch , the unusal changer can be discovered .

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 .

由于MMSE调整可以消除过程数据的自相关，因此，整合MMSE和控制图监测自相关过程的均值变化是质量改进的一种有效方法。

For auto-correlated process , the integration of MMSE and control chart to monitor the changes of process mean is an effective method for quality improvement .