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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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公开(公告)号：US20120245479A1
公开(公告)日：2012-09-27
申请号：US13069483
申请日：2011-03-23
CPC分类号： A61B5/024 , A61B5/05 , A61B5/0816 , A61B5/11 , A61B5/6889 , A61B5/7207 , A61B5/7221 , A61B5/7264 , A61B5/7267 , G01S7/412 , G01S13/88 , G08B21/0415 , G08B21/0469
摘要： A system for monitoring physiology, having: a RADAR transmitter and a RADAR receiver; a state estimation module configured to process a returned RADAR signal to detect a presence of motion and set a motion state upon said presence of motion, said state estimation module configured to detect a presence of one or more physiological parameters including heartbeat and respiration, and said state estimation module configured to assign a still state or a concern state based on said presence of physiological parameters; a rate estimation module configured to estimate one or more estimated physiological rates including an estimated respiration rate and an estimated heart rate; and an alerting module configured to provide an alert if an alert value exceeds an alert value threshold, wherein the alert value is derived from at least one of the motion state, concern state, still state and the estimated physiological rates.
摘要翻译： 一种用于监测生理学的系统，具有：RADAR发射机和RADAR接收机; 状态估计模块，被配置为处理返回的RADAR信号以检测运动的存在并且在所述运动的存在时设置运动状态，所述状态估计模块被配置为检测包括心跳和呼吸的一个或多个生理参数的存在，并且所述 状态估计模块，被配置为基于所述生理参数的存在来分配静止状态或关注状态; 速率估计模块，其被配置为估计包括估计的呼吸速率和估计的心率的一个或多个估计的生理速率; 以及警报模块，被配置为如果警报值超过警报值阈值则提供警报，其中所述警报值是从运动状态，关注状态，静止状态和估计的生理速率中的至少一个导出的。
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公开(公告)号：US07455099B2
公开(公告)日：2008-11-25
申请号：US10879459
申请日：2004-06-29
申请人： Mark David Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shirish Shah , Ivy Wai Man Chong , Shirley Suet-Yee Au , Nishith Pramod Vora
发明人： Mark David Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shirish Shah , Ivy Wai Man Chong , Shirley Suet-Yee Au , Nishith Pramod Vora
摘要： A technique is disclosed for evaluating and monitoring performance of a heat exchanger system. Operating parameters of the system are monitored and fouling factors for heat transfer surfaces of the exchanger are determined. Trending of fouling may be performed over time based upon the fouling factors, and a model of fouling may be selected from known sets of models, or a model may be developed or refined. Fluid treatment, such as water treatment regimes may be taken into account in evaluation of fouling. An automated knowledge based analysis algorithm may diagnose possible caused of fouling based upon sensed and observed parameters and conditions. Corrective actions may be suggested and the system controlled to reduce, avoid or correct for detected fouling.
摘要翻译： 公开了一种用于评估和监测热交换器系统性能的技术。 监测系统的工作参数，确定交换器传热面的污垢因子。 可以基于污垢因素随时间推移污染的趋势，并且可以从已知的一组模型中选择污垢模型，或者可以开发或改进模型。 在评估污垢时可以考虑流体处理，如水处理方案。 基于自动知识的分析算法可以基于感测和观察到的参数和条件来诊断可能导致的结垢。 可能会建议纠正措施，系统控制以减少，避免或纠正检测到的结垢。
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公开(公告)号：US20050133211A1
公开(公告)日：2005-06-23
申请号：US10879459
申请日：2004-06-29
申请人： Mark Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shah , Ivy Man Chong , Shirley Au , Nishith Vora
发明人： Mark Osborn , Vijaysai Prasad , Lijie Yu , Venkatarao Ryali , Sunil Shah , Ivy Man Chong , Shirley Au , Nishith Vora
摘要： A technique is disclosed for evaluating and monitoring performance of a heat exchanger system. Operating parameters of the system are monitored and fouling factors for heat transfer surfaces of the exchanger are determined. Trending of fouling may be performed over time based upon the fouling factors, and a model of fouling may be selected from known sets of models, or a model may be developed or refined. Fluid treatment, such as water treatment regimes may be taken into account in evaluation of fouling. An automated knowledge based analysis algorithm may diagnose possible caused of fouling based upon sensed and observed parameters and conditions. Corrective actions may be suggested and the system controlled to reduce, avoid or correct for detected fouling.
摘要翻译： 公开了一种用于评估和监测热交换器系统性能的技术。 监测系统的工作参数，确定交换器传热面的污垢因子。 可以基于污垢因素随时间推移污染的趋势，并且可以从已知的一组模型中选择污垢模型，或者可以开发或改进模型。 在评估污垢时可以考虑流体处理，如水处理方案。 基于自动知识的分析算法可以基于感测和观察到的参数和条件来诊断可能导致的结垢。 可能会建议纠正措施，系统控制以减少，避免或纠正检测到的结垢。
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