过程数据的英文

• proce data
• process data

• 过程    process; procedure; transver ...
• 数据    data; record; information
• 过程数据库    pdb process database
• 过程数据区    procedure data area
• 过程数据组    process data group
• 过程数据矩阵    process data matrix
• 过渡过程数据    transient data
• 非过程数据处理    nonprocedural data processing
• 运行时过程数据区    run time procedure data area; runtime procedure data area
• 瞬态数据 过渡过程数据    transientdata
• 交互过程数据流分析    interprocedural data-flow analysis
• 组织软件过程数据库    the organizations software process database
• 工程数据，工程数据    engineering data
• 程数据管理    pdm
• 高程数据    altimetric data; altitude figures
• 工程数据    engineering data
• 工程数据库    edb：engineering database; engineering data base; engineering database
• 进程数据库    process database
• 远程数据    lrd long range data; remote data terminal; teledata
• 远程数据机    teledata
• 远程数据库    rdb remote database; remote data base; remote database
• 远程数据源    remote data source
• 远程数据站    remote data station
• 工程数据处理    engineering data processing
• 工程数据管理    edm engineering data management

• Basing on the theories above , pcr and pls are presented . for continuous process , the normal pca can be used to analyze the process data . for batch process , mpca is the appropriate technique
  对于连续生产过程，可以采用普通的主元分析方法进行过程数据分析；对于间歇生产过程，则可以采用多向主元分析的方法进行过程数据分析。
• The established system can perform data preprocess and analysis automatically as specific object online or offline , assist the technicians by providing effective information for operational parameters optimization
  所建立的系统可在线或离线运行，能针对特定需求实现过程数据的自动预处理和分析，为技术人员提供有效的操作参数优化辅助信息。
• It provides access to detailed process data and precise control functions across the plant , providing operators with customized data including alarm lists , process graphics , control faceplates and trend displays
  它可以在整个工厂里访问具体的过程数据和精确的控制功能，向操作员提供定制的数据，包括警报列表、过程图表、控制面板和趋势显示。
• Because our factory is a production factory , process data is very important to information management . we have designed collecting system of process data , established real database and accomplished supervise production process in network
  由于我厂是一个生产厂，现场过程数据对于信息管理是非常重要的，因此我们设计了过程数据采集系统，建立了实时数据库，并实现了在网络上对生产过程的监视。
• By the application of topological polygon data model , the graphic breaking up method was proposed to realize the parent region auto - dividing into child region and auto - merging the divisions into the whole region step by step based on region and boundary code
  应用基于拓扑关系的多边形数据模型，提出以小班边界与多边形编码为基础的图形分割方法，实现了小班区划过程数据的逐级分割以及区划结果的逐级合并汇总。
• The environment includes statistics functions , curve analysis and database technology . on the one hand , as far as users are concerned , it has the good ability of interact . on the other hand , it can process and display fight data high efficiently
  Net框架的visualstudio . net开发出了集统计功能、曲线分析、数据库技术于一体的模拟环境，该环境一方面对于用户有着良好的交互性，另一方面对于作战过程数据具有高效的处理、显示功能。
• Single variable statistical process control ( svspc ) and mspc are both spc , the shortage of svspc is that it only notices the value of one variable at some moment , not suiting to analyze the multivariable process data with interrelation among them
  统计过程控制包括单变量统计方法和多元统计方法。传统的单变量统计过程控制技术的局限性在于仅注意监视某一时刻的一个质量变量或关键过程变量，不适合分析变量间存在相关特性的多变量过程数据。
• The dependence on measurement and model of each calculation is pointed out , that is , the real time calculation should depend more on measurement , the off - line calculation should depend more on system model , and the planning calculation should depend more on algorithm
  其中,实时计算应该更多地依赖测量,离线计算应该更多地依赖模型,而规划计算则应更多地依赖算法。在研究如何利用wams过程数据进行快速暂态稳定分析之前,本文探讨了wams构建与pmu配置问题。
• The other is train communication network . based on the protocol of " iec 61375 - 1 " , published by iec in 1999 , the data to be transmitted is classified into urgent periodic variables and deferrable random messages . in this paper the whole net is decomposed into two layers : train bus and vehicle bus
  文中参考iec组织1999年公布的“ iec61375 - 1 ”标准协议，将整个列车网络分为连接各个车厢主机的上层列车总线网和连接单个车厢内负责控制、检测等子设备的下层车厢总线网，同时将传输的数据类型区分为实时的周期性过程数据和可延迟的偶发性消息数据。
• Two primary mathematical tools used in this dissertation are principal component analysis ( pca ) and blind signal analysis ( bsa ) , which are both data - driven methods . pca is not only used as feature extracting method ( where process variables are subjected to multivariate normal distribution ) , but also as a tool for dimension reduction ; bsa is used to extract independent features or process blind source signals from process information in information theory sense , which is more effective than pca in describing the process
  主元分析方法不仅作为一种过程特征的提取方法(在过程信息服从多元正态分布的情况下) ，而且也作为一种过程数据降维的主要工具(在过程盲源信号提取的情况下) ；盲源信号分析是从信息论的角度，从过程信息中提取出尽可能独立的过程特征信号或过程原始信源信号，它具有比主元分析更好的刻画过程运行特征的性能。

• 过程数据的日语：プロセスデータ