利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

6 条记录 (耗时 0.021 秒)

    SYSTEM AND METHOD FOR PREDICTING THE FINANCIAL HEALTH OF A BUSINESS ENTITY
    1.
    发明申请
    SYSTEM AND METHOD FOR PREDICTING THE FINANCIAL HEALTH OF A BUSINESS ENTITY 审中-公开
    用于预测业务实体的财务健康的系统和方法

    公开(公告)号：US20070226099A1

    公开(公告)日：2007-09-27

    申请号：US11744472

    申请日：2007-05-04

    申请人： Deniz Senturk-Doganaksoy ,  Christina LaComb ,  Marat Doganaksoy

    发明人： Deniz Senturk-Doganaksoy ,  Christina LaComb ,  Marat Doganaksoy

    IPC分类号： G06Q40/00

    CPC分类号： G06F17/18 ,  G06Q10/04 ,  G06Q40/00

    摘要： A method for predicting the financial health of a business entity is provided. The method comprises generating one or more anomaly scores and one or more multi-dimensional time-varying patterns for one or more financial metrics related to a business entity and analyzing the one or more anomaly scores and the one or more multi-dimensional time-varying patterns for the one or more financial metrics, using a dynamic predictive modeling system. The method then comprises predicting one or more business behavioral patterns related to the business entity based on the step of analyzing and aggregating the one or more predicted business behavioral patterns in a selected manner to predict the financial health of the business entity.

    摘要翻译： 提供了一种预测业务实体财务状况的方法。 该方法包括为与业务实体相关的一个或多个财务指标生成一个或多个异常评分和一个或多个多维时变模式，并分析一个或多个异常评分以及一个或多个多维时变 使用动态预测建模系统的一个或多个财务指标的模式。 该方法包括基于以选择的方式分析和聚合一个或多个预测的商业行为模式以预测商业实体的财务健康的步骤来预测与业务实体相关的一个或多个业务行为模式。

    METHOD AND SYSTEM FOR PREDICTING TURBOMACHINERY FAILURE EVENTS EMPLOYING GENETIC ALGORITHM
    3.
    发明申请
    METHOD AND SYSTEM FOR PREDICTING TURBOMACHINERY FAILURE EVENTS EMPLOYING GENETIC ALGORITHM 有权
    用于预测使用遗传算法的涡轮机故障事件的方法和系统

    公开(公告)号：US20090100293A1

    公开(公告)日：2009-04-16

    申请号：US11872732

    申请日：2007-10-16

    申请人： Christina A. LaComb ,  John A. Interrante ,  Thomas R. Kiehl ,  Deniz Senturk-Doganaksoy ,  Bethany K. Hoogs

    发明人： Christina A. LaComb ,  John A. Interrante ,  Thomas R. Kiehl ,  Deniz Senturk-Doganaksoy ,  Bethany K. Hoogs

    IPC分类号： G06F11/07 ,  G06F15/18

    CPC分类号： G05B23/0229

    摘要： A method for predicting or detecting an event in turbomachinery includes the steps of obtaining operational data from at least one machine and at least one peer machine. The operational data comprises a plurality of performance metrics. A genetic algorithm (GA) analyzes the operational data, and generates a plurality of clauses, which are used to characterize the operational data. The clauses are evaluated as being either “true” or “false”. A fitness function identifies a fitness value for each of the clauses. A perturbation is applied to selected clauses to create additional clauses, which are then added to the clauses group. The steps of applying a fitness function, selecting a plurality of clauses, and applying a perturbation can be repeated until a predetermined fitness value is reached. The selected clauses are then applied to the operational data from the machine to detect or predict a past, present or future event.

    摘要翻译： 一种用于在涡轮机械中预测或检测事件的方法包括从至少一个机器和至少一个对等机器获得操作数据的步骤。 操作数据包括多个性能度量。 遗传算法（GA）分析操作数据，并生成多个条款，用于表征操作数据。 这些条款被评估为“真实”或“假”。 适应度函数识别每个条款的适合度值。 将扰动应用于选定的子句以创建其他子句，然后将其添加到子句组。 可以重复应用适应度函数，选择多个子句和应用扰动的步骤，直到达到预定的适应值。 所选择的条款然后被应用于来自机器的操作数据以检测或预测过去，现在或将来的事件。

    Method and system for predicting turbomachinery failure events employing genetic algorithm
    4.
    发明授权
    Method and system for predicting turbomachinery failure events employing genetic algorithm 有权
    使用遗传算法预测涡轮机械故障事件的方法和系统

    公开(公告)号：US07627454B2

    公开(公告)日：2009-12-01

    申请号：US11872732

    申请日：2007-10-16

    申请人： Christina A. LaComb ,  John A. Interrante ,  Thomas R. Kiehl ,  Deniz Senturk-Doganaksoy ,  Bethany K. Hoogs

    发明人： Christina A. LaComb ,  John A. Interrante ,  Thomas R. Kiehl ,  Deniz Senturk-Doganaksoy ,  Bethany K. Hoogs

    IPC分类号： G06F11/07 ,  G06F11/30

    CPC分类号： G05B23/0229

    摘要： A method for predicting or detecting an event in turbomachinery includes the steps of obtaining operational data from at least one machine and at least one peer machine. The operational data comprises a plurality of performance metrics. A genetic algorithm (GA) analyzes the operational data, and generates a plurality of clauses, which are used to characterize the operational data. The clauses are evaluated as being either “true” or “false”. A fitness function identifies a fitness value for each of the clauses. A perturbation is applied to selected clauses to create additional clauses, which are then added to the clauses group. The steps of applying a fitness function, selecting a plurality of clauses, and applying a perturbation can be repeated until a predetermined fitness value is reached. The selected clauses are then applied to the operational data from the machine to detect or predict a past, present or future event.

    摘要翻译： 一种用于在涡轮机械中预测或检测事件的方法包括从至少一个机器和至少一个对等机器获得操作数据的步骤。 操作数据包括多个性能度量。 遗传算法（GA）分析操作数据，并生成多个条款，用于表征操作数据。 这些条款被评估为“真实”或“假”。 适应度函数识别每个条款的适合度值。 将扰动应用于选定的子句以创建其他子句，然后将其添加到子句组。 可以重复应用适应度函数，选择多个子句和应用扰动的步骤，直到达到预定的适应值。 所选择的条款然后被应用于来自机器的操作数据以检测或预测过去，现在或将来的事件。