System and method for process monitoring
    2.
    发明授权
    System and method for process monitoring 有权
    过程监控系统和方法

    公开(公告)号:US07606681B2

    公开(公告)日:2009-10-20

    申请号:US11934156

    申请日:2007-11-02

    摘要: Systems and methods are provided that allow a user to monitor, diagnose, and configure a process. A user interface may be presented that displays data received from process monitors, sensors, and multivariate models. The user interface may be interactive, allowing a user to select which composite and multivariate models are displayed. The user interface and multivariate model may be constructed and updated in real time. The user interface may present various data and interfaces, such as a representation of a composite variable in a multivariate model, a representation of the contribution of process variables to the composite variable, and a representation of a subset of the process variables. The user may select a point of the composite variable for analysis, and the interface may indicate the contribution and values of process variables at the selected point. The interface may be transmitted to a remote user.

    摘要翻译: 提供了允许用户监视,诊断和配置进程的系统和方法。 可以呈现显示从过程监视器,传感器和多变量模型接收的数据的用户界面。 用户界面可以是交互式的,允许用户选择显示哪些复合和多变量模型。 可以实时构建和更新用户界面和多变量模型。 用户界面可以呈现各种数据和接口,诸如多变量模型中的复合变量的表示,过程变量对复合变量的贡献的表示,以及过程变量的子集的表示。 用户可以选择用于分析的复合变量的点,并且接口可以指示所选点处的过程变量的贡献和值。 该接口可以被发送到远程用户。

    Predicting rare events using principal component analysis and partial least squares
    3.
    发明申请
    Predicting rare events using principal component analysis and partial least squares 审中-公开
    使用主成分分析和偏最小二乘预测罕见事件

    公开(公告)号:US20100076785A1

    公开(公告)日:2010-03-25

    申请号:US12284929

    申请日:2008-09-25

    IPC分类号: G06Q50/00 G06F17/30

    摘要: Systems and methods are provided for predicting rare events, such as hospitalization events. Data related to health and/or healthcare may be compiled from a number of sources and used to construct a predictive model. The predictive model employ Principal Component Analysis (PCA) and Partial Least Squares (PLS). The data may be arranged in a timeline, and formatted in such a way as to provide discrete temporal “batches”. This arrangement may facilitate the PCA and PLS decomposition of the data into predictive models. These models may then be applied to an individual's data, to create a prediction of healthcare related events.

    摘要翻译: 提供系统和方法来预测罕见事件,如住院事件。 与健康和/或保健有关的数据可以从许多来源编制并用于构建预测模型。 预测模型采用主成分分析(PCA)和偏最小二乘法(PLS)。 数据可以以时间线布置,并且以提供离散时间“批次”的方式进行格式化。 这种安排可以促进PCA和PLS将数据分解成预测模型。 然后可以将这些模型应用于个人的数据,以创建与医疗相关事件的预测。

    System And Method For Process Monitoring
    4.
    发明申请
    System And Method For Process Monitoring 有权
    过程监控系统与方法

    公开(公告)号:US20080109090A1

    公开(公告)日:2008-05-08

    申请号:US11934156

    申请日:2007-11-02

    IPC分类号: G05B13/02 G06F3/048 G06G7/48

    摘要: Systems and methods are provided that allow a user to monitor, diagnose, and configure a process. A user interface may be presented that displays data received from process monitors, sensors, and multivariate models. The user interface may be interactive, allowing a user to select which composite and multivariate models are displayed. The user interface and multivariate model may be constructed and updated in real time. The user interface may present various data and interfaces, such as a representation of a composite variable in a multivariate model, a representation of the contribution of process variables to the composite variable, and a representation of a subset of the process variables. The user may select a point of the composite variable for analysis, and the interface may indicate the contribution and values of process variables at the selected point. The interface may be transmitted to a remote user.

    摘要翻译: 提供了允许用户监视,诊断和配置进程的系统和方法。 可以呈现显示从过程监视器,传感器和多变量模型接收的数据的用户界面。 用户界面可以是交互式的,允许用户选择显示哪些复合和多变量模型。 可以实时构建和更新用户界面和多变量模型。 用户界面可以呈现各种数据和接口,诸如多变量模型中的复合变量的表示,过程变量对复合变量的贡献的表示,以及过程变量的子集的表示。 用户可以选择用于分析的复合变量的点,并且接口可以指示所选点处的过程变量的贡献和值。 该接口可以被发送到远程用户。