公开(公告)号：US20100292967A2

公开(公告)日：2010-11-18

申请号：US12463297

申请日：2009-05-08

申请人： Richard Verseput ,  George Cooney, Jr.

发明人： Richard Verseput ,  George Cooney, Jr.

IPC分类号： G06F17/10

CPC分类号： G06Q10/04

摘要： A method, system and computer readable medium are disclosed. The method, system and computer readable medium comprises providing a mathematically linked multi-step process for simultaneously determining operating conditions of a system or process that will result in optimum performance in both mean performance requirements and system robustness requirements. In a method and system in accordance with the present embodiment, the steps can be applied to any data array that contains the two coordinated data elements defined previously (independent variables and response variables), and for which a response prediction model can be derived that relates the two elements. The steps are applied to each row of the data array, and result in a predicted Cp response data set. In the preferred embodiment the array is a statistically rigorous designed experiment from which mean performance prediction models can be derived for each response evaluated. The data are applied to each row of the data array.

摘要翻译： 公开了一种方法，系统和计算机可读介质。 方法，系统和计算机可读介质包括提供数学上链接的多步骤过程，用于同时确定将在平均性能要求和系统鲁棒性要求中导致最佳性能的系统或过程的操作条件。 在根据本实施例的方法和系统中，这些步骤可以应用于包含先前定义的两个协调数据元素（独立变量和响应变量）的任何数据阵列，并且可以导出与之相关的响应预测模型 两个要素。 这些步骤应用于数据阵列的每一行，并产生预测的Cp响应数据集。 在优选实施例中，阵列是统计上严格设计的实验，可以从评估的每个响应导出平均性能预测模型。 数据应用于数据数组的每一行。

公开(公告)号：US20060259158A1

公开(公告)日：2006-11-16

申请号：US11262539

申请日：2005-10-28

申请人： George Cooney ,  Richard Verseput

发明人： George Cooney ,  Richard Verseput

IPC分类号： G05B11/01

CPC分类号： G06Q10/00 ,  Y10S707/99931 ,  Y10S707/99945

摘要： A system for automating experimentation is disclosed. The system comprises an automated experimentation platform (AEP) for automating research, development, and engineering experimentation processes and work and a generalized exchange module (GEM) for automating data exchanges between the AEP and external software applications, devices, or the instrument control programs (ICPs) controlling the devices; a generalization of the exchange module enables all automated data exchanges to be generic. Through the use of the automated experimentation platform (AEP) and the generalized exchange module (GEM), the automation can be adapted to any targeted external software application, device or a devices' controlling software program.

公开(公告)号：US20070265812A1

公开(公告)日：2007-11-15

申请号：US11434043

申请日：2006-05-15

申请人： Richard Verseput ,  George Cooney

发明人： Richard Verseput ,  George Cooney

IPC分类号： G06F17/10

CPC分类号： G06Q10/04

摘要： A method, system and computer readable medium are disclosed. The method, system and computer readable medium comprises providing a mathematically linked multi-step process for simultaneously determining operating conditions of a system or process that will result in optimum performance in both mean performance requirements and system robustness requirements. In a method and system in accordance with the present embodiment, the steps can be applied to any data array that contains the two coordinated data elements defined previously (independent variables and response variables), and for which a response prediction model can be derived that relates the two elements. The steps are applied to each row of the data array, and result in a predicted Cp response data set. In the preferred embodiment the array is a statistically rigorous designed experiment from which mean performance prediction models can be derived for each response evaluated. The data are applied to each row of the data array.

摘要翻译： 公开了一种方法，系统和计算机可读介质。 方法，系统和计算机可读介质包括提供数学上链接的多步骤过程，用于同时确定将在平均性能要求和系统鲁棒性要求中导致最佳性能的系统或过程的操作条件。 在根据本实施例的方法和系统中，这些步骤可以应用于包含先前定义的两个协调数据元素（独立变量和响应变量）的任何数据阵列，并且可以导出与之相关的响应预测模型 两个要素。 这些步骤被应用于数据阵列的每一行，并且产生预测的C＆lt; p＆lt; p＆gt;响应数据集。 在优选实施例中，阵列是统计上严格设计的实验，可以从评估的每个响应导出平均性能预测模型。 数据应用于数据数组的每一行。

公开(公告)号：US20080109191A1

公开(公告)日：2008-05-08

申请号：US11932664

申请日：2007-10-31

申请人： George COONEY ,  Richard VERSEPUT

发明人： George COONEY ,  Richard VERSEPUT

IPC分类号： G06F15/00

CPC分类号： G06Q10/04

摘要： The present invention provides a system and method for automatically generating reduced response data sets from complex scientific data via a response data handler (RDH) methodology, thereby eliminating non-systematic losses and oversights often associated with and resulting from the current practice while improving the overall integrity and confidence of the results typically sought in experimental practice.

摘要翻译： 本发明提供一种用于通过响应数据处理器（RDH）方法从复杂科学数据自动生成减少的响应数据集的系统和方法，从而消除通常与当前实践相关联并由其导致的非系统性损失和疏忽，同时改善整体 通常在实验实践中寻求结果的完整性和信心。

公开(公告)号：US20070239829A1

公开(公告)日：2007-10-11

申请号：US11750961

申请日：2007-05-18

申请人： Richard Verseput

发明人： Richard Verseput

IPC分类号： G06F15/16

CPC分类号： G06F17/50 ,  G01N30/8658 ,  G01N30/8696 ,  G01N30/88 ,  G01N2030/8804 ,  G06F2217/10 ,  G06Q10/00 ,  Y10S707/99931

摘要： The present invention provides a system and method for automatically deriving unique surrogate response data from experiment results in which inherent data loss occurs in a sufficient number of the samples to disallow quantitative effects estimation at the experimenter's desired level of confidence for statistical significance. In part, the unique surrogate response data sets of the present invention have four primary characteristics including: each is numerically analyzable; each may be more readily or directly obtained in which inherent data loss occurs; each provides a response value for an experiment trial; and each provides information on the effect of the change made to the process or system that would have been obtainable if the experiment samples had had no inherent data loss.

摘要翻译： 本发明提供了一种系统和方法，用于从实验结果自动导出独特的替代响应数据，其中固有的数据丢失发生在足够数量的样本中，以便不允许实验者所需的置信水平的统计学显着性的定量效应估计。 部分地，本发明的独特代理响应数据集具有四个主要特征，包括：每个都可以数字分析; 每个可能更容易或直接获得，其中发生固有数据丢失; 每个提供实验试验的响应值; 并且每个提供关于如果实验样本没有固有的数据丢失可能获得的对过程或系统的改变的影响的信息。