公开(公告)号：US20150167661A1

公开(公告)日：2015-06-18

申请号：US14105819

申请日：2013-12-13

Applicant: General Electric Company

Inventor： Dustin Ross Garvey ,  Scott Charles Evans ,  Bing Hu

IPC: F04B51/00 ,  E21B43/12

CPC classification number: F04B51/00 ,  E21B43/128 ,  F04B47/06 ,  F04B49/065 ,  F04B2201/0802 ,  F04B2203/0201 ,  F04B2203/0202 ,  F04B2205/05

Abstract: A method for fault detection includes selecting a measured parameter from a subsurface electrical device and obtaining a plurality of samples for the measured parameter. The method also includes removing at least one invalid sample from the plurality of samples to generate a remaining number of samples. The method further includes computing a diagnostic parameter based on the remaining number of samples, if the remaining number of samples is greater than a predefined threshold number and terminating the method otherwise. The method also includes obtaining a rule from a plurality of rules stored in a database, based on the diagnostic parameter. The rule is indicative of a standard operating condition of the subsurface electrical device. The method further includes evaluating whether the determined diagnostic parameter satisfies the obtained rule, to generate an output and determining a measured operating condition of the subsurface electrical device based on the output.

Abstract translation: 一种用于故障检测的方法包括从地下电气设备中选择测量的参数并获得所测量的参数的多个样本。 该方法还包括从多个样本中去除至少一个无效样本以产生剩余数量的样本。 该方法还包括如果剩余的采样数量大于预定义的阈值数量并且否则终止该方法，则基于剩余样本数量来计算诊断参数。 该方法还包括基于诊断参数从存储在数据库中的多个规则获得规则。 该规则表示地下电气设备的标准操作条件。 该方法还包括基于输出来评估确定的诊断参数是否满足所获得的规则，以产生输出并确定地下电气设备的测量操作条件。

公开(公告)号：US20150120248A1

公开(公告)日：2015-04-30

申请号：US14067179

申请日：2013-10-30

Applicant: General Electric Company

Inventor： Dustin Ross Garvey ,  Rui Xu ,  Feng Xue ,  Bouchra Bouqata ,  Nicholas Edward Roddy

IPC: G01M99/00

CPC classification number: G01M5/0033 ,  G05B23/0227 ,  G07C5/0808

Abstract: A method for diagnosing machine faults, includes obtaining sensory data from a machine and obtaining a plurality of measured structural features based on the sensory data. The method also includes obtaining a plurality of reference cases corresponding to the sensory data, from a database. The plurality of reference cases include a plurality of reference structural features and a plurality of fault identifiers. The method further includes computing a statistical parameter based on the plurality of reference cases and obtaining a first subset of reference structural features from the plurality of reference structural features based on the computed statistical parameter. The method also includes computing a plurality of similarity values based on the obtained first subset of reference structural features and the plurality of measured structural features. The method further includes identifying at least one fault identifier among the plurality of fault identifiers, based on the computed plurality of similarity values.

Abstract translation: 一种用于诊断机器故障的方法，包括从机器获取感觉数据，并且基于感觉数据获得多个测量的结构特征。 该方法还包括从数据库获得与感觉数据相对应的多个参考情况。 多个参考案例包括多个参考结构特征和多个故障标识符。 该方法还包括基于多个参考情况计算统计参数，并且基于所计算的统计参数从多个参考结构特征获得参考结构特征的第一子集。 该方法还包括基于获得的参考结构特征和多个测量结构特征的第一子集来计算多个相似度值。 该方法还包括基于所计算的多个相似度值来识别多个故障识别器中的至少一个故障标识符。

公开(公告)号：US20160063418A1

公开(公告)日：2016-03-03

申请号：US14476030

申请日：2014-09-03

Applicant: General Electric Company

Inventor： Nicholas Edward Roddy ,  Dustin Ross Garvey ,  Rui Xu

IPC: G06Q10/06

CPC classification number: G06Q10/06315

Abstract: A system and method for inferring vehicle health are disclosed. The computer-implemented method comprises identifying a plurality of candidate vehicles for consideration for use for a task, and receiving corresponding event data for at least one of the plurality of candidate vehicles. The event data may correspond to at least one occurrence of at least one suspected problem for the corresponding candidate vehicle. A corresponding health score can be generated for each one of the plurality of candidate vehicles. The corresponding health score for the at least one of the plurality of candidate vehicles can be generated based on the corresponding event data for the at least one of the plurality of candidate vehicles. The generated health scores can indicate a likelihood of failure for their corresponding candidate vehicles.

Abstract translation: 公开了一种用于推断车辆健康的系统和方法。 计算机实现的方法包括识别多个候选车辆以供考虑用于任务，以及接收多个候选车辆中的至少一个的对应的事件数据。 事件数据可以对应于对应的候选车辆的至少一个可疑问题的至少一次出现。 可以为多个候选车辆中的每一个产生相应的健康评分。 可以基于多个候选车辆中的至少一个候选车辆的相应事件数据来生成多个候选车辆中的至少一个候选车辆的对应健康得分。 所产生的健康状况分数可能表明其相应的候选车辆失败的可能性。

公开(公告)号：US20140188772A1

公开(公告)日：2014-07-03

申请号：US13728755

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Dustin Ross Garvey ,  Neil Holger White Eklund ,  Feng Xue

IPC: G06N5/02

CPC classification number: G06F11/008 ,  G05B23/024 ,  G06F11/3055

Abstract: A computer-implemented method for detecting a change in state of a physical asset is performed by a computer device. The computer device includes a processor and a memory device. The method includes receiving at least one input signal associated with the physical asset in a time period. The time period includes a first period and a second period. The method further includes receiving at least one output signal associated with the physical asset in the time period. The method also includes generating a predicted estimate and estimate residuals based upon the at least one input signal. The method additionally includes determining estimation errors. The method also includes detecting a probability of change in state of the physical asset. The method further includes transmitting the probability of change in state of the physical asset to a servicer of the physical asset.

Abstract translation: 用于检测物理资产的状态变化的计算机实现的方法由计算机设备执行。 计算机设备包括处理器和存储设备。 该方法包括在一段时间内接收与物理资产相关联的至少一个输入信号。 时间段包括第一周期和第二周期。 该方法还包括在该时间段内接收与物理资产相关联的至少一个输出信号。 该方法还包括基于至少一个输入信号生成预测估计和估计残差。 该方法还包括确定估计误差。 该方法还包括检测物理资产状态变化的概率。 该方法还包括将物理资产状态的变化概率发送给实体资产的服务者。

公开(公告)号：US09394899B2

公开(公告)日：2016-07-19

申请号：US14105819

申请日：2013-12-13

Applicant: General Electric Company

Inventor： Dustin Ross Garvey ,  Scott Charles Evans ,  Bing Hu

IPC: G06F11/30 ,  F04B51/00 ,  E21B43/12 ,  F04B47/06 ,  F04B49/06

CPC classification number: F04B51/00 ,  E21B43/128 ,  F04B47/06 ,  F04B49/065 ,  F04B2201/0802 ,  F04B2203/0201 ,  F04B2203/0202 ,  F04B2205/05

Abstract: A method for fault detection includes selecting a measured parameter from a subsurface electrical device and obtaining a plurality of samples for the measured parameter. The method also includes removing at least one invalid sample from the plurality of samples to generate a remaining number of samples. The method further includes computing a diagnostic parameter based on the remaining number of samples, if the remaining number of samples is greater than a predefined threshold number and terminating the method otherwise. The method also includes obtaining a rule from a plurality of rules stored in a database, based on the diagnostic parameter. The rule is indicative of a standard operating condition of the subsurface electrical device. The method further includes evaluating whether the determined diagnostic parameter satisfies the obtained rule, to generate an output and determining a measured operating condition of the subsurface electrical device based on the output.

Abstract translation: 一种用于故障检测的方法包括从地下电气设备中选择测量的参数并获得所测量的参数的多个样本。 该方法还包括从多个样本中去除至少一个无效样本以产生剩余数量的样本。 该方法还包括如果剩余的采样数量大于预定义的阈值数量并且否则终止该方法，则基于剩余样本数量来计算诊断参数。 该方法还包括基于诊断参数从存储在数据库中的多个规则获得规则。 该规则表示地下电气设备的标准操作条件。 该方法还包括基于输出来评估确定的诊断参数是否满足所获得的规则，以产生输出并确定地下电气设备的测量操作条件。

公开(公告)号：US20150143087A1

公开(公告)日：2015-05-21

申请号：US14086523

申请日：2013-11-21

Applicant: General Electric Company

Inventor： Dustin Ross Garvey ,  Nicholas Edward Roddy ,  Christopher M. McQuown

IPC: G06F9/30

CPC classification number: G06F8/76 ,  G06F9/453

Abstract: A system includes provision of a first set of instructions associated with a product to a user of the product, the user having one or more associated characteristics, reception of a revision to the first set of instructions from the user, determination of whether to modify the first set of instructions based the revision and on the characteristics, and modification, if a determination is made to modify the first set of instructions, of the first set of instructions based at least in part on the revision to generate a second set of instructions.

Abstract translation: 系统包括向产品的用户提供与产品相关联的第一组指令，用户具有一个或多个相关联的特征，对来自用户的第一组指令的修订的接收，是否修改 基于修订和特征的第一组指令，以及至少部分地基于修订来修改第一组指令，如果确定第一组指令，则生成第二组指令。

公开(公告)号：US20140188778A1

公开(公告)日：2014-07-03

申请号：US13728721

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Dustin Ross Garvey ,  Feng Xue

IPC: G06N5/02

CPC classification number: G06Q10/0631 ,  G06Q10/08

Abstract: A system for determining anomaly conditions within a fleet of physical assets includes a central system having at least one computing device, the computing device including a processor and a memory device coupled to the processor and a database associated with the central system. The system includes a plurality of databases and a plurality of client devices associated with the fleet of physical assets. The system is configured to receive a first set of fleet data. The system is further configured to generate one or more computer-executable steps for detection of predicted anomalies. The system is configured to receive a first set of fleet asset data. The system is configured to detect at least one physical asset from the fleet of physical assets predicted to have at least one anomaly using the one or more computer-executable steps for detection of predicted anomalies and the first set of fleet asset data.

Abstract translation: 用于确定物理资产队列内的异常状况的系统包括具有至少一个计算设备的中央系统，所述计算设备包括耦合到所述处理器的处理器和存储器设备以及与所述中央系统相关联的数据库。 该系统包括多个数据库和与物理资产的队列相关联的多个客户端设备。 该系统被配置为接收第一组船队数据。 该系统还被配置为生成用于检测预测异常的一个或多个计算机可执行步骤。 该系统被配置为接收第一组船队资产数据。 该系统被配置为使用一个或多个计算机可执行步骤来检测来自预期具有至少一个异常的物理资产的至少一个物理资产，以检测预测的异常和第一组船队资产数据。