In production process, good measurement systems are important for successful quality improvement or statistical process control.
在生产过程中，测量系统的好坏是成功实施质量改进或应用统计过程控制的先决条件。
Control chart developed by W. A. Shewhart is an important tool of statistical process control widely used in quality control field.
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。
The statistical process control (SPC) plays an important aspect in quality control (QC).
统计过程控制（SPC）是质量管理的重要内容。
So methods for dealing with autocorrelated data in the statistical process control environment have been considered.
因此，在一些统计过程控制中，须考虑自相关现象并采用适当的控制图方法。
The principle of statistical process control is introduced and the damage identification process using Xbar-R chart is derived.
介绍了统计过程控制原理，推导了均值极差控制图进行结构连 续损伤识别的过程；
Based on the combination of data mining and statistical process control, a mix-produced process quality control method is proposed.
将数据挖掘技术与统计过程控制技术相结合，提出了一种混合的生产过程质量控制方法。
Sample products, perform tests, record data, carry out statistical process control on process operations, and write production logs.
抽样产品，进行测试，记录数据，执行工艺操作的统计过程控制，并写入生产日志。
This paper is using statistical process control and control charts to measure and analyze software processes, and achieves business and technical goals.
本论文使用统计过程控制和控制图表的方法来度量和分析软件过程，达到了商业目的和技术要求。
His research interests include quality engineering and management to manufacturing and service industries, statistical process control, monitoring and diagnosis.
他的研究领域包括：制造与服务业的质量工程和管理、统计过程控制、监督和诊断。
Principal component analysis (PCA) and partial least squares (PLS) are the conventional techniques of multivariate statistical process control but exist some defects.
在多变量统计过程控制中，传统的方法主要包括主元分析和偏最小二乘，这些方法存在着诸多缺陷。
Then, a multi-client distributed process monitoring system based on CORBA is developed w using multivariate statistical process control technology for process industries.
然后设计并实现了一个结合多元统计过程控制方法，基于CORBA技术的多客户端工业过程实时监测软件系统。
For better detection to the thermal generating set equipment fault, using the multivariate statistical process control, a more precise equipment parameter model is obtained.
为了更好的对火电厂发电机组设备故障进行检测，运用多变量统计过程控制技术获得更为精确的机组设备参数模型。
Multivariate statistical process control for process monitoring and diagnosis are becoming more common in academic re - search, but are still underutilized in industrial practice.
将多变量统计过程控制应用于过程监控与诊断，在学术研究中已经较为普遍，但在工业实践方面还未充分施行。
In this paper, firstly, an introduction to quality engineering techniques is given, then current situation and general trend in research on statistical process control techniques presented.
本文首先介绍了质量工程技术的主要内容。在此基础上，概述了统计过程控制技术的研究现状及其发展趋势。
As we know that the average run length (ARL) is an extensively used measure in statistical process control (SPC) for evaluating and comparing the detection performance of various control charts.
平均运行长度(ARL)被广泛地用在统计过程控制(SPC)中，人们常用它来评估和比较各种各样控制图的监测效果。
Statistical process control (SPC) is one of the main tools for controlling processes and widely used in the manufacturing industry.
统计过程控制技术目前是生产过程中控制稳定产出的主要工具，在生产型企业中应用的非常广泛。
ELECTRONIC Statistical Process Control: Timken Company developed software for PC based data collection and Statistical Process Control or SPC.
电子统计过程控制：这是一种由铁姆肯公司开发，基于计算机数据采集和统计过程控制的软件。
ESPC model is introduced to prevent or self-heal performance exception. ESPC enhances the metrics program of Statistical Process Control (SPC).
提出扩展统计过程控制模型(ESPC)指导随机性能异常的预防和自修复。
Statistical process control, which uses control chart as the main tool, is of great importance to the on-line statistical process quality control.
以控制图为主要工具的统计过程控制技术是在线控制过程质量的重要手段。
Statistical process control stresses control of manufacture process and is an effective tool of ensuring product quality and preventing waste product.
摘要统计过程控制着重于生产过程的控制，是保证产品质量、预防废品产生的一种有效工具。
Statistical process control (SPC) technique is used to improve quality and reliability of microelectronic products, and monitor production conditions of wire bonding process.
采用统计过程控制(SPC)技术，提高微电路产品的质量和可靠性，监控键合工序的生产过程状态。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
Conventional analytical methods used in Multivariate Statistical Process Control, such as Principal Component Analysis, Multi-way Principal Component Analysis are summarized.
对多元统计过程控制常用的分析方法进行了介绍和总结，如主元分析、多向主元分析。
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