ASSET DEGRADATION MODEL BASELINENING SYSTEM AND METHOD

    公开(公告)号:US20170300018A1

    公开(公告)日:2017-10-19

    申请号:US15132963

    申请日:2016-04-19

    CPC classification number: F02C9/00 F05D2260/81 G05B19/4065 G05B2219/37255

    Abstract: A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.

    Systems and Methods For Dynamic Risk Derivation
    3.
    发明申请
    Systems and Methods For Dynamic Risk Derivation 有权
    动态风险推导的系统与方法

    公开(公告)号:US20140129000A1

    公开(公告)日:2014-05-08

    申请号:US13670435

    申请日:2012-11-06

    CPC classification number: G05B9/02 G05B23/0248 G05B23/0283 G06F11/008

    Abstract: A system may include a dynamic risk calculation engine (DRCE) system. The DRCE includes a model library configured to model a system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure. The DRCE further includes a fault tolerance input and a maintenance policy input. The DRCE additionally includes a run-time risk calculation engine configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input, and the maintenance policy input, to derive a system risk for an apparatus.

    Abstract translation: 系统可以包括动态风险计算引擎(DRCE)系统。 DRCE包括被配置为对系统建模的模型库,其中所述模型库包括多个子模型,并且所述多个子模型中的每一个被配置为导出可靠性度量。 DRCE还包括容错输入和维护策略输入。 DRCE还包括运行时风险计算引擎,其被配置为使用用户定义的多个子系统模型集合,容错输入和维护策略输入,以导出装置的系统风险。

    Asset degradation model baselinening system and method

    公开(公告)号:US10358983B2

    公开(公告)日:2019-07-23

    申请号:US15132963

    申请日:2016-04-19

    Abstract: A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.

    Systems and methods for improved reliability operations
    5.
    发明授权
    Systems and methods for improved reliability operations 有权
    改进可靠性操作的系统和方法

    公开(公告)号:US09551633B2

    公开(公告)日:2017-01-24

    申请号:US14054307

    申请日:2013-10-15

    CPC classification number: G01M99/005 G05B23/0251 G05B23/0283

    Abstract: A system for improved reliability operations of a system with a heat recovery steam generator (HRSG) are presented. The system includes a processor configured to execute a model library to model a safety system. The model library includes a plurality of subsystem models each configured to derive a reliability measure. The system also includes the HRSG and an HRSG advisory system. The HRSG advisory system may be executed by the processor and is configured to receive one or more condition monitoring algorithm results, receive one or more measurements; and determine a probability of failure for the HRSG based at least in part on the one or more condition monitoring algorithm results, the one or more measurements, the model library, or a combination thereof. Moreover, determining the probability of failure includes determining a most likely state of a plurality of states of the HRSG.

    Abstract translation: 提出了一种用于改进具有热回收蒸汽发生器(HRSG)的系统的可靠性操作的系统。 该系统包括被配置为执行模型库以对安全系统建模的处理器。 模型库包括多个子系统模型,每个子系统被配置为导出可靠性度量。 该系统还包括HRSG和HRSG咨询系统。 HRSG咨询系统可以由处理器执行并且被配置为接收一个或多个状态监视算法结果,接收一个或多个测量; 并且至少部分地基于所述一个或多个状态监视算法结果,所述一个或多个测量,所述模型库或其组合来确定所述HRSG的故障概率。 此外,确定故障概率包括确定HRSG的多个状态中最可能的状态。

    MODEL-BASED CONTROL SYSTEM AND METHOD FOR POWER PRODUCTION MACHINERY
    8.
    发明申请
    MODEL-BASED CONTROL SYSTEM AND METHOD FOR POWER PRODUCTION MACHINERY 审中-公开
    基于模型的控制系统和电力生产机械的方法

    公开(公告)号:US20160365736A1

    公开(公告)日:2016-12-15

    申请号:US14738870

    申请日:2015-06-13

    Abstract: A method includes selecting a first desired parameter of a machinery configured to produce power, a first surrogate parameter related to the desired parameter, and a first model configured to generate the desired parameter based on a first relationship between the first surrogate parameter and the first desired parameter. The method also includes receiving data related to the first surrogate parameter from a plurality of sensors coupled to the machinery and generating the first desired parameter using the data and the first model. Further, the method includes deriving a first set of empirical data relating the first surrogate parameter to the desired parameter and adjusting the first model based on the data, the first surrogate parameter, and the first set of empirical data, wherein the adjustment to the first model occurs in real-time.

    Abstract translation: 一种方法包括选择配置成产生电力的机械的第一所需参数,与期望参数相关的第一替代参数,以及第一模型,其被配置为基于第一代理参数和第一期望参数之间的第一关系产生期望参数 参数。 该方法还包括从耦合到机器的多个传感器接收与第一替代参数有关的数据,并使用数据和第一模型生成第一期望参数。 此外,该方法包括将与第一代理参数相关的第一组经验数据导出到期望参数,并且基于数据,第一替代参数和第一组经验数据来调整第一模型,其中调整到第一 模型发生在实时。

    Systems and methods for management of risk in industrial plants
    9.
    发明授权
    Systems and methods for management of risk in industrial plants 有权
    工业厂房风险管理系统和方法

    公开(公告)号:US09076106B2

    公开(公告)日:2015-07-07

    申请号:US13691336

    申请日:2012-11-30

    CPC classification number: G06N5/048 G06Q10/06

    Abstract: A system includes a risk assessment system. The risk assessment system includes a risk calculation system configured to calculate a risk based on one or more static inputs and one or more dynamic inputs. The one or more dynamic inputs includes a location of a human resource, a mobile resource, or a combination thereof. The risk assessment system further includes a decision support system (DSS) configured to use the risk to derive one or more decisions based on the risk, the one or more static inputs, and the one or more dynamic inputs. The one or more decisions are configured to aid in operating an industrial facility.

    Abstract translation: 系统包括风险评估系统。 风险评估系统包括风险计算系统,该系统被配置为基于一个或多个静态输入和一个或多个动态输入来计算风险。 一个或多个动态输入包括人力资源的位置,移动资源或其组合。 所述风险评估系统还包括被配置为使用所述风险基于所述风险,所述一个或多个静态输入和所述一个或多个动态输入来导出一个或多个决策的决策支持系统(DSS)。 一个或多个决定被配置成有助于操作工业设施。

    SYSTEMS AND METHODS FOR IMPROVED RELIABILITY OPERATIONS
    10.
    发明申请
    SYSTEMS AND METHODS FOR IMPROVED RELIABILITY OPERATIONS 有权
    改善可靠性运行的系统和方法

    公开(公告)号:US20150106058A1

    公开(公告)日:2015-04-16

    申请号:US14054307

    申请日:2013-10-15

    CPC classification number: G01M99/005 G05B23/0251 G05B23/0283

    Abstract: A system for improved reliability operations of a system with a heat recovery steam generator (HRSG) are presented. The system includes a processor configured to execute a model library to model a safety system. The model library includes a plurality of subsystem models each configured to derive a reliability measure. The system also includes the HRSG and an HRSG advisory system. The HRSG advisory system may be executed by the processor and is configured to receive one or more condition monitoring algorithm results, receive one or more measurements; and determine a probability of failure for the HRSG based at least in part on the one or more condition monitoring algorithm results, the one or more measurements, the model library, or a combination thereof. Moreover, determining the probability of failure includes determining a most likely state of a plurality of states of the HRSG.

    Abstract translation: 提出了一种用于改进具有热回收蒸汽发生器(HRSG)的系统的可靠性操作的系统。 该系统包括被配置为执行模型库以对安全系统建模的处理器。 模型库包括多个子系统模型,每个子系统被配置为导出可靠性度量。 该系统还包括HRSG和HRSG咨询系统。 HRSG咨询系统可以由处理器执行并且被配置为接收一个或多个状态监视算法结果,接收一个或多个测量; 并且至少部分地基于所述一个或多个状态监视算法结果,所述一个或多个测量,所述模型库或其组合来确定所述HRSG的故障概率。 此外,确定故障概率包括确定HRSG的多个状态中最可能的状态。

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