Systems and methods for remote monitoring, security, diagnostics, and prognostics
    1.
    发明授权
    Systems and methods for remote monitoring, security, diagnostics, and prognostics 有权
    用于远程监控,安全,诊断和预测的系统和方法

    公开(公告)号:US09245116B2

    公开(公告)日:2016-01-26

    申请号:US13848354

    申请日:2013-03-21

    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。

    SYSTEM AND METHOD FOR DIAGNOSING MACHINE FAULTS
    2.
    发明申请
    SYSTEM AND METHOD FOR DIAGNOSING MACHINE FAULTS 审中-公开
    用于诊断机器故障的系统和方法

    公开(公告)号:US20150120248A1

    公开(公告)日:2015-04-30

    申请号:US14067179

    申请日:2013-10-30

    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。

    System and method for detecting turbine underperformance and operation anomaly

    公开(公告)号:US11378063B2

    公开(公告)日:2022-07-05

    申请号:US16797593

    申请日:2020-02-21

    Abstract: A method of correcting turbine underperformance includes calculating a power production curve using monitored data, detecting changes between the monitored data and a baseline power production curve, generating operability curves for paired operational variables from the monitored data, detecting changes between the operability curves and corresponding baseline operability curves, comparing the changes to a respective predetermined metric, and if the change exceeds the metric, providing feedback to a turbine control system identifying at least one of the paired operational variables for each paired variable in excess of the metric. A system and a non-transitory computer-readable medium are also disclosed.

    SYSTEMS AND METHODS FOR REMOTE MONITORING, SECURITY, DIAGNOSTICS, AND PROGNOSTICS
    4.
    发明申请
    SYSTEMS AND METHODS FOR REMOTE MONITORING, SECURITY, DIAGNOSTICS, AND PROGNOSTICS 有权
    用于远程监控,安全,诊断和预防的系统和方法

    公开(公告)号:US20140289852A1

    公开(公告)日:2014-09-25

    申请号:US13848354

    申请日:2013-03-21

    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。

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