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1.发明授权Method and system for diagnosing faults in a particular device within a fleet of devices 有权用于诊断设备队列内的特定设备中的故障的方法和系统公开(公告)号：US07826943B2
公开(公告)日：2010-11-02
申请号：US11695350
申请日：2007-04-02
CPC分类号： G05B23/0232
摘要： A method for diagnosing faults in a particular device within a fleet of devices is provided. The method comprises receiving performance data related to one or more parameters associated with a fleet of devices and processing the performance data to detect one or more trend shifts in the one or more parameters. The method then comprises detrending the one or more parameters to derive noise-adjusted performance data related to a particular parameter associated with a particular device. The method further comprises generating a fleet-based diagnostic model based on trend patterns and data characteristics associated with the fleet of devices. The fleet-based diagnostic model comprises one or more fuzzy rules defining one or more expected trend shift data ranges for the one or more parameters associated with the fleet of devices. The method then comprises computing one or more scaling factors for the particular parameter associated with the particular device and scaling the one or more of fuzzy rules defined for the one or more parameters in the fleet-based diagnostic model, based on the one or more scaling factors, to generate a personalized diagnostic model for the particular parameter associated with the particular device. The method finally comprises evaluating the personalized diagnostic model against the one or more trend shifts detected for the one or more parameters, to diagnose a fault associated with the particular device.
摘要翻译： 提供了用于诊断设备队列内的特定设备中的故障的方法。 所述方法包括接收与一组或多个参数相关联的性能数据，并且处理所述性能数据以检测所述一个或多个参数中的一个或多个趋势变化。 该方法然后包括去除一个或多个参数以导出与特定设备相关联的特定参数相关的噪声调整的性能数据。 该方法还包括基于与设备队列相关联的趋势模式和数据特征来生成基于车队的诊断模型。 基于车队的诊断模型包括一个或多个模糊规则，其定义与所述设备队列相关联的一个或多个参数的一个或多个预期趋势移位数据范围。 该方法然后包括计算用于与特定设备相关联的特定参数的一个或多个缩放因子，并且基于一个或多个缩放比例缩放为基于车队的诊断模型中的一个或多个参数定义的模糊规则中的一个或多个 因素，为与特定设备相关联的特定参数生成个性化诊断模型。 该方法最终包括针对针对一个或多个参数检测到的一个或多个趋势偏移来评估个性化诊断模型，以诊断与特定装置相关联的故障。
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2.发明授权Process for semi-automatic maintenance of a knowledge base using tagged examples 有权使用标记示例对知识库进行半自动维护的过程公开(公告)号：US07401063B2
公开(公告)日：2008-07-15
申请号：US10318682
申请日：2002-12-16
申请人： Paul Edward Cuddihy , Jeremiah Francis Donoghue , Steven Hector Azzaro , Timothy Lee Johnson , Daniel Joseph Cleary , Lijie Yu
发明人： Paul Edward Cuddihy , Jeremiah Francis Donoghue , Steven Hector Azzaro , Timothy Lee Johnson , Daniel Joseph Cleary , Lijie Yu
IPC分类号： G06N5/00
CPC分类号： G06N5/025
摘要： The present invention provides a computer implemented method for maintaining a knowledge base. The method taking as input, text examples that are tagged with a structural markup language; and maps knowledge nodes in the knowledge base with the tagged examples to determine: (1) the knowledge nodes that best match the tagged examples, and (2) the knowledge nodes that are best connected to the tagged examples. The results are displayed to the user, who verifies that the tagged examples match the selected knowledge nodes. Based on the user response, indices of the knowledge nodes are updated. The method may further include determining discrepancies between the existing knowledge base and the tagged examples, and further displaying the discrepancies to the user. The user can update the missing information in the knowledge base to remove the discrepancies in the existing knowledge base.
摘要翻译： 本发明提供一种用于维护知识库的计算机实现方法。 作为输入的方法，用结构标记语言标记的文本示例; 并将知识库中的知识节点与标记的示例进行映射，以确定：（1）与标记示例最匹配的知识节点，以及（2）与标记示例最佳连接的知识节点。 结果显示给用户，用户验证标记的示例是否与选定的知识节点相匹配。 基于用户响应，知识节点的索引被更新。 该方法还可以包括确定现有知识库和标记示例之间的差异，并进一步向用户显示差异。 用户可以更新知识库中缺少的信息，以消除现有知识库中的差异。
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3.发明申请METHOD AND SYSTEM FOR DIAGNOSING FAULTS IN A PARTICULAR DEVICE WITHIN A FLEET OF DEVICES 有权用于诊断设备中的特定设备中的故障的方法和系统公开(公告)号：US20080243328A1
公开(公告)日：2008-10-02
申请号：US11695350
申请日：2007-04-02
IPC分类号： G06F19/00
CPC分类号： G05B23/0232
摘要： A method for diagnosing faults in a particular device within a fleet of devices is provided. The method comprises receiving performance data related to one or more parameters associated with a fleet of devices and processing the performance data to detect one or more trend shifts in the one or more parameters. The method then comprises detrending the one or more parameters to derive noise-adjusted performance data related to a particular parameter associated with a particular device. The method further comprises generating a fleet-based diagnostic model based on trend patterns and data characteristics associated with the fleet of devices. The fleet-based diagnostic model comprises one or more fuzzy rules defining one or more expected trend shift data ranges for the one or more parameters associated with the fleet of devices. The method then comprises computing one or more scaling factors for the particular parameter associated with the particular device and scaling the one or more of fuzzy rules defined for the one or more parameters in the fleet-based diagnostic model, based on the one or more scaling factors, to generate a personalized diagnostic model for the particular parameter associated with the particular device. The method finally comprises evaluating the personalized diagnostic model against the one or more trend shifts detected for the one or more parameters, to diagnose a fault associated with the particular device.
摘要翻译： 提供了用于诊断设备队列内的特定设备中的故障的方法。 所述方法包括接收与一组或多个参数相关联的性能数据，并且处理所述性能数据以检测所述一个或多个参数中的一个或多个趋势变化。 该方法然后包括去除一个或多个参数以导出与特定设备相关联的特定参数相关的噪声调整的性能数据。 该方法还包括基于与设备队列相关联的趋势模式和数据特征来生成基于车队的诊断模型。 基于车队的诊断模型包括一个或多个模糊规则，其定义与所述设备队列相关联的一个或多个参数的一个或多个预期趋势移位数据范围。 该方法然后包括计算用于与特定设备相关联的特定参数的一个或多个缩放因子，并且基于一个或多个缩放比例缩放为基于车队的诊断模型中的一个或多个参数定义的模糊规则中的一个或多个 因素，为与特定设备相关联的特定参数生成个性化诊断模型。 该方法最终包括针对针对一个或多个参数检测到的一个或多个趋势偏移来评估个性化诊断模型，以诊断与特定装置相关联的故障。
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4.发明授权Method and system for hierarchical fault classification and diagnosis in large systems 有权大型系统中分层故障分类与诊断的方法与系统公开(公告)号：US07379799B2
公开(公告)日：2008-05-27
申请号：US11171961
申请日：2005-06-29
IPC分类号： G01M17/00
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。
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公开(公告)号：US08740793B2
公开(公告)日：2014-06-03
申请号：US13219779
申请日：2011-08-29
CPC分类号： G06F19/3418 , A61B5/0205 , A61B5/024 , A61B5/0507 , A61B5/0816 , A61B5/1102 , A61B5/113 , A61B5/4806 , A61B2560/0247
摘要： Methods and systems for monitoring a subject in a resting state using one or more range-controlled radars are presented. The radars non-invasively detect one or more motion and/or physiological parameters corresponding to the subject. The motion parameters comprise one or more activity levels and the physiological parameters comprise one or more of heartbeat and respiration. Further, one or more patterns in the motion parameters detected over a designated motion period of time are determined. Additionally, one or more patterns in the physiological parameters detected over the designated physiological period of time are also determined. The systems then assess a health condition of the subject based on the determined patterns of the motion parameters and/or the determined patterns of the physiological parameters.
摘要翻译： 提出了使用一个或多个范围控制的雷达在静止状态下监测受试者的方法和系统。 雷达非侵入性地检测对应于对象的一个或多个运动和/或生理参数。 运动参数包括一个或多个活动水平，生理参数包括一个或多个心跳和呼吸。 此外，确定在指定的运动时间段上检测的运动参数中的一个或多个图案。 此外，还确定了在指定的生理时间段内检测到的生理参数中的一个或多个模式。 然后，系统基于运动参数的确定模式和/或确定的生理参数模式来评估对象的健康状况。
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公开(公告)号：US08346858B2
公开(公告)日：2013-01-01
申请号：US12974597
申请日：2010-12-21
IPC分类号： G06F15/16
CPC分类号： G06Q10/101
摘要： A system for providing an optimal motivational response is provided. The system includes an input device configured to receive at least one client input from the client. The system further includes a processor configured to analyze the at least one client input received from the client and generate a current state of the client based on the at least one client input. The processor is further configured to analyze the current state of the client and determine an optimal motivational technique for the client based on the current state of the client and the at least one client input. The processor is also configured to generate an optimal motivational response based on the optimal motivational technique. The system further includes an output device configured to display the optimal motivational response to the client.
摘要翻译： 提供了一种提供最佳动机响应的系统。 该系统包括被配置为从客户端接收至少一个客户端输入的输入设备。 该系统还包括处理器，其被配置为分析从客户端接收的至少一个客户端输入，并基于该至少一个客户端输入生成客户端的当前状态。 处理器还被配置为分析客户端的当前状态，并且基于客户端的当前状态和至少一个客户端输入来确定客户端的最佳动机技术。 处理器还被配置为基于最佳动机技术产生最优的动机响应。 该系统还包括被配置为向客户端显示最佳动机响应的输出设备。
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公开(公告)号：US20120158826A1
公开(公告)日：2012-06-21
申请号：US12974597
申请日：2010-12-21
IPC分类号： G06F15/16
CPC分类号： G06Q10/101
摘要： A system for providing an optimal motivational response is provided. The system includes an input device configured to receive at least one client input from the client. The system further includes a processor configured to analyze the at least one client input received from the client and generate a current state of the client based on the at least one client input. The processor is further configured to analyze the current state of the client and determine an optimal motivational technique for the client based on the current state of the client and the at least one client input. The processor is also configured to generate an optimal motivational response based on the optimal motivational technique. The system further includes an output device configured to display the optimal motivational response to the client.
摘要翻译： 提供了一种提供最佳动机响应的系统。 该系统包括被配置为从客户端接收至少一个客户端输入的输入设备。 该系统还包括处理器，其被配置为分析从客户端接收的至少一个客户端输入，并基于该至少一个客户端输入生成客户端的当前状态。 所述处理器还被配置为基于所述客户端的当前状态和所述至少一个客户端输入来分析所述客户端的当前状态并确定所述客户端的最佳激励技术。 处理器还被配置为基于最佳动机技术产生最优的动机响应。 该系统还包括被配置为向客户端显示最佳动机响应的输出设备。
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公开(公告)号：US20080004792A1
公开(公告)日：2008-01-03
申请号：US11427728
申请日：2006-06-29
申请人： Gerald Bowden Wise , John Michael Lizzi , Louis John Hoebel , Rajesh Venkat Subbu , Daniel Joseph Cleary , Liviu Nedelescu , Paul W. Mettus , Bradley A. Culbertson , Jonathan Dehn
发明人： Gerald Bowden Wise , John Michael Lizzi , Louis John Hoebel , Rajesh Venkat Subbu , Daniel Joseph Cleary , Liviu Nedelescu , Paul W. Mettus , Bradley A. Culbertson , Jonathan Dehn
IPC分类号： G06G7/76
CPC分类号： G08G5/0043
摘要： Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system (10) operable to predict demand within an airspace divided into sectors includes an expanded route predictor (14) operable to generate predicted two-dimensional expanded route information (40) associated with at least one requested flight (34), a trajectory modeler (16) operable to generate predicted four-dimensional expanded route information (46), a sector crossing predictor (18) operable to generate predicted sector crossing information (48), a departure time predictor (22) operable to generate predicted departure time information (54), and a demand modeler (62) operable to generate a demand model (28), the demand model (28) including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.
摘要翻译： 提供了改善部门级需求预测的空域需求预测系统和方法。 在一个实施例中，可操作以预测划分为扇区的空域内的需求的空中交通需求预测系统（10）包括扩展路由预测器（14），其可操作以产生与至少一个请求的相关联的预测的二维扩展路由信息（40） 飞行（34），可操作以产生预测的四维扩展路径信息（46）的轨迹建模器（16），可操作以产生预测扇区交叉信息的扇区交叉预测器（48），出发时间预测器（22） 可操作以产生预测的出发时间信息（54），以及可操作以生成需求模型（28）的需求建模器（62），所述需求模型（28）包括与所述至少一个请求的飞行相关联的预测时间间隔， 预计将在空域的一个或多个部门内存在。
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公开(公告)号：US07664596B2
公开(公告)日：2010-02-16
申请号：US11427728
申请日：2006-06-29
申请人： Gerald Bowden Wise , John Michael Lizzi , Louis John Hoebel , Rajesh Venkat Subbu , Daniel Joseph Cleary , Liviu Nedelescu , Paul W. Mettus , Bradley A. Culbertson , Jonathan Dehn
发明人： Gerald Bowden Wise , John Michael Lizzi , Louis John Hoebel , Rajesh Venkat Subbu , Daniel Joseph Cleary , Liviu Nedelescu , Paul W. Mettus , Bradley A. Culbertson , Jonathan Dehn
CPC分类号： G08G5/0043
摘要： Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system (10) operable to predict demand within an airspace divided into sectors includes an expanded route predictor (14) operable to generate predicted two-dimensional expanded route information (40) associated with at least one requested flight (34), a trajectory modeler (16) operable to generate predicted four-dimensional expanded route information (46), a sector crossing predictor (18) operable to generate predicted sector crossing information (48), a departure time predictor (22) operable to generate predicted departure time information (54), and a demand modeler (62) operable to generate a demand model (28), the demand model (28) including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.
摘要翻译： 提供了改善部门级需求预测的空域需求预测系统和方法。 在一个实施例中，可操作以预测划分为扇区的空域内的需求的空中交通需求预测系统（10）包括扩展路由预测器（14），其可操作以产生与至少一个请求的相关联的预测的二维扩展路由信息（40） 飞行（34），可操作以产生预测的四维扩展路径信息（46）的轨迹建模器（16），可操作以产生预测扇区交叉信息的扇区交叉预测器（48），出发时间预测器（22） 可操作以产生预测的出发时间信息（54），以及可操作以生成需求模型（28）的需求建模器（62），所述需求模型（28）包括与所述至少一个请求的飞行相关联的预测时间间隔， 预计将在空域的一个或多个部门内存在。
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公开(公告)号：US20130053653A1
公开(公告)日：2013-02-28
申请号：US13219779
申请日：2011-08-29
IPC分类号： A61B5/0205
CPC分类号： G06F19/3418 , A61B5/0205 , A61B5/024 , A61B5/0507 , A61B5/0816 , A61B5/1102 , A61B5/113 , A61B5/4806 , A61B2560/0247
摘要： Methods and systems for monitoring a subject in a resting state using one or more range-controlled radars are presented. The radars non-invasively detect one or more motion and/or physiological parameters corresponding to the subject. The motion parameters comprise one or more activity levels and the physiological parameters comprise one or more of heartbeat and respiration. Further, one or more patterns in the motion parameters detected over a designated motion period of time are determined Additionally, one or more patterns in the physiological parameters detected over the designated physiological period of time are also determined The systems then assess a health condition of the subject based on the determined patterns of the motion parameters and/or the determined patterns of the physiological parameters.
摘要翻译： 提出了使用一个或多个范围控制的雷达在静止状态下监测受试者的方法和系统。 雷达非侵入性地检测对应于对象的一个或多个运动和/或生理参数。 运动参数包括一个或多个活动水平，生理参数包括一个或多个心跳和呼吸。 此外，还确定了在指定的运动时间段内检测的运动参数中的一个或多个模式。另外，还确定了在指定的生理时间段内检测到的生理参数中的一个或多个模式。然后，系统评估健康状况 基于所确定的运动参数模式和/或确定的生理参数模式。
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