公开(公告)号：US20140289852A1

公开(公告)日：2014-09-25

申请号：US13848354

申请日：2013-03-21

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Scott Charles Evans ,  Richard Brownell Arthur ,  Bouchra Bouqata ,  Piyush Mishra ,  Weizhong Yan ,  Anil Varma

IPC: G06F21/57

CPC classification number: G06F21/55

Abstract: A system includes a physical analysis module, a cyber analysis module, and a determination module. The physical analysis module is configured to obtain physical diagnostic information, and to determine physical analysis information using the physical diagnostic information. The cyber analysis module is configured to obtain cyber security data of the functional system, and to determine cyber analysis information using the cyber security data. The determination module is configured to obtain the physical analysis information and the cyber analysis information, and to determine a state of the functional system using the physical analysis information and the cyber analysis information. The state determined corresponds to at least one of physical condition or cyber security threat. The determination module is also configured to identify if the state corresponds to one or more of a non-malicious condition or a malicious condition.

Abstract translation: 系统包括物理分析模块，网络分析模块和确定模块。 物理分析模块被配置为获得物理诊断信息，并且使用物理诊断信息来确定物理分析信息。 网络分析模块被配置为获取功能系统的网络安全数据，并使用网络安全数据来确定网络分析信息。 确定模块被配置为获得物理分析信息和网络分析信息，并且使用物理分析信息和网络分析信息来确定功能系统的状态。 所确定的状态对应于身体状况或网络安全威胁中的至少一种。 确定模块还被配置为识别该状态是否对应于非恶意条件或恶意条件中的一个或多个。

公开(公告)号：US09552270B2

公开(公告)日：2017-01-24

申请号：US14482279

申请日：2014-09-10

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Anil Varma ,  Nicholas Roddy ,  Feng Xue

IPC: G06F9/50 ,  G06F11/30

CPC classification number: G06F11/301 ,  G06F9/50 ,  G06F9/5011 ,  G06F11/3051 ,  G06F2201/875 ,  G06F2209/501

Abstract: A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request, the performance categories include at least one of a time for processing the analysis request or a cost for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.

Abstract translation: 公开了一种用于分析数据的方法，包括接收分析请求以分析对应于一个或多个受监视资产的所选数据，其中分析请求包括与用于处理分析请求的计算资源的性能类别对应的一个或多个参数， 包括用于处理分析请求的时间中的至少一个或用于处理分析请求的成本; 确定用于基于所述一个或多个参数来处理所述分析请求的计算资源分配计划; 以及使用所确定的计算资源分配计划处理分析请求以提供分析结果。 还公开了一种分析路由器，其包括映射器，估计器，优化器和资源提供器。

公开(公告)号：US20140189702A1

公开(公告)日：2014-07-03

申请号：US13730392

申请日：2012-12-28

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Weizhong Yan ,  Anil Varma ,  Piero Patrone Bonissone ,  Naresh Sundaram Iyer ,  Feng Xue

IPC: G06F9/50

CPC classification number: G06F9/5027

Abstract: A system includes a library of algorithms, and a request module configured to receive an execution request. The system also includes a job scheduler/optimizer module configured to select algorithms from the library and to create at least one execution job based on the algorithms and the execution request. The system further includes a resource module configured to determine execution computing resources from multiple computing sources, including internal computing resources and external computing resources. The system also includes an executor module configured to transmit an execution job to the computing resources.

Abstract translation: 系统包括算法库和被配置为接收执行请求的请求模块。 该系统还包括作业调度器/优化器模块，配置为从库中选择算法，并且基于算法和执行请求创建至少一个执行作业。 该系统还包括资源模块，该资源模块被配置为从多个计算源确定执行计算资源，包括内部计算资源和外部计算资源。 该系统还包括被配置为将执行作业发送到计算资源的执行器模块。

公开(公告)号：US20140188777A1

公开(公告)日：2014-07-03

申请号：US13728572

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Weizhong Yan ,  Anil Varma ,  Brock Estel Osborn ,  James Kenneth Aragones ,  Piero Patrone Bonissone ,  Naresh Sundaram Iyer ,  Hai Qiu

IPC: G06N5/02

CPC classification number: G06N5/04 ,  G06F11/008

Abstract: A computer-implemented system for identifying a precursor to a failure of a particular type of component in a physical system is provided. The physical system includes sensors coupled to the physical system. The computer-implemented system includes a computing device, a database, a processor, and a memory device. The memory device includes historical data including sensor measurements. When instructions are executed by the processor, the processor receives the historical data from the memory device. The processor generates a predictive model. The predictive model uses, as inputs, sensor measurements in the historical data. The predictive model is able to differentiate between sensor measurements taken before the repair event and those taken after the repair event without a time of the repair event being an input to the predictive model. The processor designates at least one sensor measurements used as inputs to the predictive model as precursors to the failure of the component.

Abstract translation: 提供了一种用于识别物理系统中特定类型的组件的故障的前兆的计算机实现的系统。 物理系统包括耦合到物理系统的传感器。 计算机实现的系统包括计算设备，数据库，处理器和存储设备。 存储器件包括包括传感器测量的历史数据。 当处理器执行指令时，处理器从存储器件接收历史数据。 处理器生成预测模型。 预测模型使用历史数据中的传感器测量作为输入。 该预测模型能够区分在修复事件之前进行的传感器测量与在修复事件之后进行的传感器测量之间，而没有修复事件的时间是预测模型的输入。 处理器指定用作预测模型的输入的至少一个传感器测量值作为组件故障的前兆。

公开(公告)号：US09552567B2

公开(公告)日：2017-01-24

申请号：US13728378

申请日：2012-12-27

Applicant: General Electric Company

Inventor： Naresh Sundaram Iyer ,  Anil Varma ,  James Kenneth Aragones ,  Weizhong Yan ,  Piero Patrone Bonissone ,  Feng Xue

IPC: G06N99/00 ,  G06Q10/08 ,  G06Q10/06

CPC classification number: G06N5/04 ,  G06N99/005 ,  G06Q10/0631 ,  G06Q10/087 ,  G07C5/008

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract translation: 由中央系统执行的用于确定车队状况和其操作管理的方法包括从至少一个分布式数据存储库接收车队数据。 船队数据实质上代表与实体资产船队相关联的信息。 该方法还包括使用多个过程的至少一个过程处理车队接收的车队数据。 多个过程将接收到的车队数据评估为处理后的车队数据。 该方法另外包括使用处理的车队数据和多个过程中的至少一个过程来确定车队状况状态。 该方法还包括产生车队响应。 舰队反应实质上代表了有形资产队伍的下一个操作步骤。 该方法还包括将车队响应发送到多个车队响应接收者中的至少一个。

公开(公告)号：US09245116B2

公开(公告)日：2016-01-26

申请号：US13848354

申请日：2013-03-21

Applicant: General Electric Company

Inventor： Scott Charles Evans ,  Richard Brownell Arthur ,  Bouchra Bouqata ,  Piyush Mishra ,  Weizhong Yan ,  Anil Varma

IPC: G06F21/55

CPC classification number: G06F21/55

Abstract: A system includes a physical analysis module, a cyber analysis module, and a determination module. The physical analysis module is configured to obtain physical diagnostic information, and to determine physical analysis information using the physical diagnostic information. The cyber analysis module is configured to obtain cyber security data of the functional system, and to determine cyber analysis information using the cyber security data. The determination module is configured to obtain the physical analysis information and the cyber analysis information, and to determine a state of the functional system using the physical analysis information and the cyber analysis information. The state determined corresponds to at least one of physical condition or cyber security threat. The determination module is also configured to identify if the state corresponds to one or more of a non-malicious condition or a malicious condition.

Abstract translation: 系统包括物理分析模块，网络分析模块和确定模块。 物理分析模块被配置为获得物理诊断信息，并且使用物理诊断信息来确定物理分析信息。 网络分析模块被配置为获取功能系统的网络安全数据，并使用网络安全数据来确定网络分析信息。 确定模块被配置为获得物理分析信息和网络分析信息，并且使用物理分析信息和网络分析信息来确定功能系统的状态。 所确定的状态对应于身体状况或网络安全威胁中的至少一种。 确定模块还被配置为识别该状态是否对应于非恶意条件或恶意条件中的一个或多个。

公开(公告)号：US20140380331A1

公开(公告)日：2014-12-25

申请号：US14482279

申请日：2014-09-10

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Anil Varma ,  Nicholas Roddy ,  Feng Xue

IPC: G06F11/30 ,  G06F9/50

CPC classification number: G06F11/301 ,  G06F9/50 ,  G06F9/5011 ,  G06F11/3051 ,  G06F2201/875 ,  G06F2209/501

Abstract: A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request, the performance categories include at least one of a time for processing the analysis request or a cost for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.

Abstract translation: 公开了一种用于分析数据的方法，包括接收分析请求以分析对应于一个或多个受监视资产的所选数据，其中分析请求包括与用于处理分析请求的计算资源的性能类别对应的一个或多个参数， 包括用于处理分析请求的时间中的至少一个或用于处理分析请求的成本; 确定用于基于所述一个或多个参数来处理所述分析请求的计算资源分配计划; 以及使用所确定的计算资源分配计划处理分析请求以提供分析结果。 还公开了一种分析路由器，其包括映射器，估计器，优化器和资源提供器。

公开(公告)号：US20140188767A1

公开(公告)日：2014-07-03

申请号：US13728378

申请日：2012-12-27

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Naresh Sundaram Iyer ,  Anil Varma ,  James Kenneth Aragones ,  Weizhong Yan ,  Piero Patrone Bonissone ,  Feng Xue

IPC: G06N99/00

CPC classification number: G06N5/04 ,  G06N99/005 ,  G06Q10/0631 ,  G06Q10/087 ,  G07C5/008

Abstract: A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Abstract translation: 由中央系统执行的用于确定车队状况和其操作管理的方法包括从至少一个分布式数据存储库接收车队数据。 船队数据实质上代表与实体资产船队相关联的信息。 该方法还包括使用多个过程的至少一个过程处理车队接收的车队数据。 多个过程将接收到的车队数据评估为处理后的车队数据。 该方法另外包括使用处理的车队数据和多个过程中的至少一个过程来确定车队状况状态。 该方法还包括产生车队响应。 舰队反应实质上代表了有形资产队伍的下一个操作步骤。 该方法还包括将车队响应发送到多个车队响应接收者中的至少一个。