公开(公告)号：US08105552B2

公开(公告)日：2012-01-31

申请号：US12730550

申请日：2010-03-24

申请人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

发明人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

IPC分类号： B01L3/00 ,  G01P3/00 ,  G01N31/00

CPC分类号： G01N21/78 ,  B01L3/50273 ,  B01L3/502746 ,  B01L2200/0621 ,  B01L2300/0803 ,  B01L2300/0816 ,  B01L2300/0864 ,  B01L2400/0406 ,  B01L2400/088 ,  G01N21/253 ,  G01N21/80 ,  G01N31/22 ,  Y10T137/7036

摘要： Total analysis systems and methods for simultaneously monitoring a suite of biological and/or chemical species in water and/or other process systems are disclosed. The system provides a sample-volume controlled sensor array comprising a fluid delivery device and a plurality of optical sensor elements for determining the presence and total concentrations of multiple analytes in the process system simultaneously. Image identification algorithms are provided for identifying the analytes based on image intensity, color pattern, positional arrangement, and the like. The methods incorporate multivariate optimization algorithms to analyze multiple sensor responses. This produces analytical results that are typically difficult to obtain without full system or variable compensation. The improved array response may then be utilized to measure, monitor, and control the concentration of analytes in the chemical or biological sample or water system.

摘要翻译： 公开了用于在水和/或其它工艺系统中同时监测一套生物和/或化学物质的总分析系统和方法。 该系统提供了一个样本量控制的传感器阵列，其包括流体输送装置和多个光学传感器元件，用于同时确定过程系统中多个分析物的存在和总浓度。 提供图像识别算法，用于基于图像强度，颜色图案，位置排列等来识别分析物。 该方法结合了多变量优化算法来分析多个传感器响应。 这产生的分析结果通常难以在没有完整系统或可变补偿的情况下获得。 然后可以利用改进的阵列响应来测量，监测和控制化学或生物样品或水系统中分析物的浓度。

公开(公告)号：US20100178208A1

公开(公告)日：2010-07-15

申请号：US12730550

申请日：2010-03-24

申请人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

发明人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

IPC分类号： G01N21/25 ,  G01N21/75 ,  B81B7/00

CPC分类号： G01N21/78 ,  B01L3/50273 ,  B01L3/502746 ,  B01L2200/0621 ,  B01L2300/0803 ,  B01L2300/0816 ,  B01L2300/0864 ,  B01L2400/0406 ,  B01L2400/088 ,  G01N21/253 ,  G01N21/80 ,  G01N31/22 ,  Y10T137/7036

摘要： Total analysis systems and methods for simultaneously monitoring a suite of biological and/or chemical species in water and/or other process systems are disclosed. The system provides a sample-volume controlled sensor array comprising a fluid delivery device and a plurality of optical sensor elements for determining the presence and total concentrations of multiple analytes in the process system simultaneously. Image identification algorithms are provided for identifying the analytes based on image intensity, color pattern, positional arrangement, and the like. The methods incorporate multivariate optimization algorithms to analyze multiple sensor responses. This produces analytical results that are typically difficult to obtain without full system or variable compensation. The improved array response may then be utilized to measure, monitor, and control the concentration of analytes in the chemical or biological sample or water system.

摘要翻译： 公开了用于在水和/或其它工艺系统中同时监测一套生物和/或化学物质的总分析系统和方法。 该系统提供了一个样本量控制的传感器阵列，其包括流体输送装置和多个光学传感器元件，用于同时确定过程系统中多个分析物的存在和总浓度。 提供图像识别算法，用于基于图像强度，颜色图案，位置排列等来识别分析物。 该方法结合了多变量优化算法来分析多个传感器响应。 这产生的分析结果通常难以在没有完整系统或可变补偿的情况下获得。 然后可以利用改进的阵列响应来测量，监测和控制化学或生物样品或水系统中分析物的浓度。

公开(公告)号：US07723120B2

公开(公告)日：2010-05-25

申请号：US11259643

申请日：2005-10-26

申请人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

发明人： Caibin Xiao ,  Radislav A. Potyrailo ,  William G. Morris ,  Scott M. Boyette ,  LiJie Yu ,  Theodore J. Cecconie ,  Andrew M. Leach ,  Prashant V. Shrikhande

IPC分类号： G01N21/00 ,  G06K9/38 ,  C12Q1/68 ,  G01N33/543 ,  F16L7/00

CPC分类号： G01N21/78 ,  B01L3/50273 ,  B01L3/502746 ,  B01L2200/0621 ,  B01L2300/0803 ,  B01L2300/0816 ,  B01L2300/0864 ,  B01L2400/0406 ,  B01L2400/088 ,  G01N21/253 ,  G01N21/80 ,  G01N31/22 ,  Y10T137/7036

摘要： Total analysis systems and methods for simultaneously monitoring a suite of biological and/or chemical species in water and/or other process systems are disclosed. The system provides a sample-volume controlled sensor array comprising a fluid delivery device and a plurality of optical sensor elements for determining the presence and total concentrations of multiple analytes in the process system simultaneously. Image identification algorithms are provided for identifying the analytes based on image intensity, color pattern, positional arrangement, and the like. The methods incorporate multivariate optimization algorithms to analyze multiple sensor responses. This produces analytical results that are typically difficult to obtain without full system or variable compensation. The improved array response may then be utilized to measure, monitor, and control the concentration of analytes in the chemical or biological sample or water system.

摘要翻译： 公开了用于在水和/或其它工艺系统中同时监测一套生物和/或化学物质的总分析系统和方法。 该系统提供了一个样品量控制的传感器阵列，其包括流体输送装置和多个光学传感器元件，用于同时确定过程系统中多个分析物的存在和总浓度。 提供图像识别算法，用于基于图像强度，颜色图案，位置排列等来识别分析物。 该方法结合了多变量优化算法来分析多个传感器响应。 这产生的分析结果通常难以在没有完整系统或可变补偿的情况下获得。 然后可以利用改进的阵列响应来测量，监测和控制化学或生物样品或水系统中分析物的浓度。

公开(公告)号：US20070092407A1

公开(公告)日：2007-04-26

申请号：US11259643

申请日：2005-10-26

申请人： Caibin Xiao ,  Radislav Potyrailo ,  William Morris ,  Scott Boyette ,  LiJie Yu ,  Theodore Cecconie ,  Andrew Leach ,  Prashant Shrikhande

发明人： Caibin Xiao ,  Radislav Potyrailo ,  William Morris ,  Scott Boyette ,  LiJie Yu ,  Theodore Cecconie ,  Andrew Leach ,  Prashant Shrikhande

IPC分类号： G01N21/29 ,  G01N21/41

CPC分类号： G01N21/78 ,  B01L3/50273 ,  B01L3/502746 ,  B01L2200/0621 ,  B01L2300/0803 ,  B01L2300/0816 ,  B01L2300/0864 ,  B01L2400/0406 ,  B01L2400/088 ,  G01N21/253 ,  G01N21/80 ,  G01N31/22 ,  Y10T137/7036

摘要： Total analysis systems and methods for simultaneously monitoring a suite of biological and/or chemical species in water and/or other process systems are disclosed. The system provides a sample-volume controlled sensor array comprising a fluid delivery device and a plurality of optical sensor elements for determining the presence and total concentrations of multiple analytes in the process system simultaneously. Image identification algorithms are provided for identifying the analytes based on image intensity, color pattern, positional arrangement, and the like. The methods incorporate multivariate optimization algorithms to analyze multiple sensor responses. This produces analytical results that are typically difficult to obtain without full system or variable compensation. The improved array response may then be utilized to measure, monitor, and control the concentration of analytes in the chemical or biological sample or water system.

摘要翻译： 公开了用于在水和/或其它工艺系统中同时监测一套生物和/或化学物质的总分析系统和方法。 该系统提供了一个样品量控制的传感器阵列，其包括流体输送装置和多个光学传感器元件，用于同时确定过程系统中多个分析物的存在和总浓度。 提供图像识别算法，用于基于图像强度，颜色图案，位置排列等来识别分析物。 该方法结合了多变量优化算法来分析多个传感器响应。 这产生的分析结果通常难以在没有完整系统或可变补偿的情况下获得。 然后可以利用改进的阵列响应来测量，监测和控制化学或生物样品或水系统中分析物的浓度。

公开(公告)号：US07031878B2

公开(公告)日：2006-04-18

申请号：US10320173

申请日：2002-12-16

申请人： Paul E. Cuddihy ,  Daniel J. Cleary ,  LiJie Yu

发明人： Paul E. Cuddihy ,  Daniel J. Cleary ,  LiJie Yu

IPC分类号： G06F11/30

CPC分类号： H04L43/00

摘要： Automated systems and methods for diagnosing the cause of a trend shift in performance data associated with a system including selecting a fuzzy model describing how the mean associated with a parameter shifts when a predetermined problem occurs and receiving performance data associated with the system. The diagnostic systems and methods also including applying a preferred set of piecewise regressions. The diagnostic systems and methods further including selecting a start date and selecting data sets near the start date and an end date that have a relatively large size without violating normal scatter. The diagnostic systems and methods still further including measuring the mean shift between a plurality of samples using one or more statistical tests and combining the results with the fuzzy model to achieve a diagnosis.

摘要翻译： 用于诊断与系统相关联的性能数据趋势变化的原因的自动化系统和方法，包括选择模糊模型，所述模糊模型描述当预定问题发生时与参数相关联的平均值如何移动并且接收与系统相关联的性能数据。 诊断系统和方法还包括应用一组优选的分段回归。 诊断系统和方法还包括选择开始日期并选择开始日期附近的数据集和具有相对较大尺寸而不违反正常散射的结束日期。 诊断系统和方法还包括使用一个或多个统计测试来测量多个样本之间的平均偏移，并将结果与​​模糊模型结合以实现诊断。

公开(公告)号：US20080039993A1

公开(公告)日：2008-02-14

申请号：US11171961

申请日：2005-06-29

申请人： Daniel Cleary ,  LiJie Yu ,  Mark Osborn

发明人： Daniel Cleary ,  LiJie Yu ,  Mark Osborn

IPC分类号： G01M17/00 ,  G06F19/00

CPC分类号： G06N7/005 ,  G06N5/02

摘要： A method for diagnosing and classifying faults in a system is provided. The method comprises acquiring operational data for at least one of a system, one or more subsystems of the system or one or more components of the one or more subsystems. Then, the method comprises analyzing the operational data using one or more diagnostic models. Each diagnostic model uses the operational data to determine a probability of fault associated with at least one of the one or more components or the one or more subsystems. Finally, the method comprises deriving an overall probability of fault for at least one of the system, the one or more subsystems, or the one or more components using the one or more probabilities of fault determined by the one or more diagnostic models and one or more hierarchical relationships between the subsystems and components of the system.

摘要翻译： 提供了一种用于诊断和分类系统故障的方法。 该方法包括获取系统，系统的一个或多个子系统或一个或多个子系统的一个或多个组件中的至少一个的操作数据。 然后，该方法包括使用一个或多个诊断模型分析操作数据。 每个诊断模型使用操作数据来确定与一个或多个组件或一个或多个子系统中的至少一个相关联的故障概率。 最后，该方法包括使用由一个或多个诊断模型确定的故障的一个或多个概率导出系统，一个或多个子系统或一个或多个组件中的至少一个子系统的整体故障概率， 子系统和系统组件之间的更多层次关系。

公开(公告)号：US07379799B2

公开(公告)日：2008-05-27

申请号：US11171961

申请日：2005-06-29

申请人： Daniel Joseph Cleary ,  LiJie Yu ,  Mark David Osborn

发明人： Daniel Joseph Cleary ,  LiJie Yu ,  Mark David Osborn

IPC分类号： G01M17/00

CPC分类号： G06N7/005 ,  G06N5/02

摘要： A method for diagnosing and classifying faults in a system is provided. The method comprises acquiring operational data for at least one of a system, one or more subsystems of the system or one or more components of the one or more subsystems. Then, the method comprises analyzing the operational data using one or more diagnostic models. Each diagnostic model uses the operational data to determine a probability of fault associated with at least one of the one or more components or the one or more subsystems. Finally, the method comprises deriving an overall probability of fault for at least one of the system, the one or more subsystems, or the one or more components using the one or more probabilities of fault determined by the one or more diagnostic models and one or more hierarchical relationships between the subsystems and components of the system.

摘要翻译： 提供了一种用于诊断和分类系统故障的方法。 该方法包括获取系统，系统的一个或多个子系统或一个或多个子系统的一个或多个组件中的至少一个的操作数据。 然后，该方法包括使用一个或多个诊断模型分析操作数据。 每个诊断模型使用操作数据来确定与一个或多个组件或一个或多个子系统中的至少一个相关联的故障概率。 最后，该方法包括使用由一个或多个诊断模型确定的故障的一个或多个概率导出系统，一个或多个子系统或一个或多个组件中的至少一个子系统的整体故障概率， 子系统和系统组件之间的更多层次关系。