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公开(公告)号：US20120136819A1
公开(公告)日：2012-05-31
申请号：US12956689
申请日：2010-11-30
CPC分类号： F02C9/00 , F05D2260/80 , F05D2270/44 , F05D2270/70 , F05D2270/71 , G06N7/005
摘要： A turbine performance diagnostic system creates a performance report for one or more turbines and includes an assessment module that receives operating data from at least one turbine and produces a performance report from the operating data. The assessment module includes a change detection module configured to determine when at least one parameter has changed beyond an associated threshold and generate an alarm and a root cause analyzer coupled to the change detection module that predicts a root cause of the alarm utilizing a Bayesian Belief Network (BBN). The performance report includes an indication of the predicted root cause.
摘要翻译： 涡轮机性能诊断系统为一个或多个涡轮机创建一个性能报告，并且包括一个评估模块，该评估模块从至少一个涡轮机接收运行数据，并从运行数据产生一个性能报告。 所述评估模块包括变化检测模块，所述变化检测模块被配置为确定何时至少一个参数已经改变超过相关联的阈值，并且生成警报，以及耦合到所述变化检测模块的根本原因分析器，所述变化检测模块使用贝叶斯信念网络预测所述警报的根本原因 （BBN）。 性能报告包括预测根本原因的指示。
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公开(公告)号：US08751423B2
公开(公告)日：2014-06-10
申请号：US12956689
申请日：2010-11-30
IPC分类号： G06N5/00
CPC分类号： F02C9/00 , F05D2260/80 , F05D2270/44 , F05D2270/70 , F05D2270/71 , G06N7/005
摘要： A turbine performance diagnostic system creates a performance report for one or more turbines and includes an assessment module that receives operating data from at least one turbine and produces a performance report from the operating data. The assessment module includes a change detection module configured to determine when at least one parameter has changed beyond an associated threshold and generate an alarm and a root cause analyzer coupled to the change detection module that predicts a root cause of the alarm utilizing a Bayesian Belief Network (BBN). The performance report includes an indication of the predicted root cause.
摘要翻译： 涡轮机性能诊断系统为一个或多个涡轮机创建一个性能报告，并且包括一个评估模块，该评估模块从至少一个涡轮机接收运行数据，并从运行数据产生一个性能报告。 所述评估模块包括变化检测模块，所述变化检测模块被配置为确定何时至少一个参数已经改变超过相关联的阈值，并且生成警报，以及耦合到所述变化检测模块的根本原因分析器，所述变化检测模块使用贝叶斯信念网络预测所述警报的根本原因 （BBN）。 绩效报告包括预测根本原因的指示。
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3.发明申请公开(公告)号：US20130024179A1
公开(公告)日：2013-01-24
申请号：US13189217
申请日：2011-07-22
申请人： Maria Cecilia Mazzaro , Mohammad Waseem Adhami , Juan Paulo Chavez Valdovinos , Achalesh Kumar Pandey , Atanu Talukdar , Adriana Elizabeth Trejo , Jose Vega Paez
发明人： Maria Cecilia Mazzaro , Mohammad Waseem Adhami , Juan Paulo Chavez Valdovinos , Achalesh Kumar Pandey , Atanu Talukdar , Adriana Elizabeth Trejo , Jose Vega Paez
IPC分类号： G06G7/62
CPC分类号： G06Q10/04 , F01D17/20 , F01K13/02 , F05D2260/821 , G05B23/0254 , G05B23/0283
摘要： A system, in one embodiment, provides means for acquired measurements of one or more operating parameters of a turbine engine. The system further includes means for determining an estimated value of a performance parameter of interest at a current time based at least partially upon the acquired measurements, means for adjusting a deterioration model at the current time based on a historical set of estimated values from previous times, and means for forecasting performance changes in the turbine engine based on the adjusted deterioration model.
摘要翻译： 在一个实施例中，系统提供用于获取的涡轮发动机的一个或多个操作参数的测量装置。 该系统还包括用于至少部分地基于获取的测量来确定当前时间的目标时间的目标时间性能参数的估计值的装置，用于基于来自之前时间的估计值的历史集合来调整当前时间的劣化模型的装置 以及基于经调整的劣化模型来预测涡轮发动机的性能变化的装置。
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公开(公告)号：US09158303B2
公开(公告)日：2015-10-13
申请号：US13431914
申请日：2012-03-27
申请人： Maria Cecilia Mazzaro , Frederick William Block , Pablo Enrique Acevedo Giraldi , Charles Scott Sealing , Atanu Talukdar , Mark Andrew Runkle
发明人： Maria Cecilia Mazzaro , Frederick William Block , Pablo Enrique Acevedo Giraldi , Charles Scott Sealing , Atanu Talukdar , Mark Andrew Runkle
CPC分类号： G05B23/0283 , G05B23/0251
摘要： A system may include a model library configured to model a safety 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 system further includes a fault tolerance input and a maintenance policy input. The system further includes a dynamic risk calculation engine (DRCE) 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.
摘要翻译： 系统可以包括被配置为对安全系统建模的模型库，其中模型库包括多个子模型，并且多个子模型中的每一个被配置为导出可靠性度量。 该系统还包括容错输入和维护策略输入。 该系统还包括被配置为使用多个子系统模型的用户定义的集合，容错输入和维护策略输入的动态风险计算引擎（DRCE）来导出装置的系统风险。
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公开(公告)号：US20130262064A1
公开(公告)日：2013-10-03
申请号：US13431914
申请日：2012-03-27
申请人： Maria Cecilia Mazzaro , Frederick William Block , Pablo Enrique Acevedo Giraldi , Charles Scott Sealing , Atanu Talukdar , Mark Andrew Runkle
发明人： Maria Cecilia Mazzaro , Frederick William Block , Pablo Enrique Acevedo Giraldi , Charles Scott Sealing , Atanu Talukdar , Mark Andrew Runkle
IPC分类号： G06G7/48
CPC分类号： G05B23/0283 , G05B23/0251
摘要： A system may include a model library configured to model a safety 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 system further includes a fault tolerance input and a maintenance policy input. The system further includes a dynamic risk calculation engine (DRCE) 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.
摘要翻译： 系统可以包括被配置为对安全系统建模的模型库，其中模型库包括多个子模型，并且多个子模型中的每一个被配置为导出可靠性度量。 该系统还包括容错输入和维护策略输入。 该系统还包括被配置为使用多个子系统模型的用户定义的集合，容错输入和维护策略输入的动态风险计算引擎（DRCE）来导出装置的系统风险。
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公开(公告)号：US08326577B2
公开(公告)日：2012-12-04
申请号：US13237073
申请日：2011-09-20
IPC分类号： G06F17/18
CPC分类号： G05B23/0237 , F03D17/00 , F05B2260/821 , F05B2270/332
摘要： Methods and systems for use in predicting wind turbine failures are provided. One example method includes determining a parametric profile for a component of a wind turbine from operating data of a plurality of wind turbines, determining an anomaly profile for the component of the wind turbine from anomaly alerts from a plurality of wind turbines, and determining a probability of failure for the component of the wind turbine based on the parametric profile and the anomaly profile. The parametric profile defines at least one parametric event associated with the component prior to failure of the component, and the anomaly profile defines at least one anomaly associated with the component prior to failure of the component.
摘要翻译： 提供了用于预测风力发电机故障的方法和系统。 一个示例性方法包括从多个风力涡轮机的运行数据确定风力涡轮机的部件的参数轮廓，从多个风力涡轮机的异常警报中确定风力涡轮机的部件的异常轮廓，并且确定概率 基于参数轮廓和异常轮廓的风力涡轮机部件故障。 参数配置文件定义在组件发生故障之前与组件相关联的至少一个参数事件，并且异常配置文件在组件故障之前定义与组件相关联的至少一个异常。
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公开(公告)号：US20120143565A1
公开(公告)日：2012-06-07
申请号：US13237073
申请日：2011-09-20
IPC分类号： G06F17/18
CPC分类号： G05B23/0237 , F03D17/00 , F05B2260/821 , F05B2270/332
摘要： Methods and systems for use in predicting wind turbine failures are provided. One example method includes determining a parametric profile for a component of a wind turbine from operating data of a plurality of wind turbines, determining an anomaly profile for the component of the wind turbine from anomaly alerts from a plurality of wind turbines, and determining a probability of failure for the component of the wind turbine based on the parametric profile and the anomaly profile. The parametric profile defines at least one parametric event associated with the component prior to failure of the component, and the anomaly profile defines at least one anomaly associated with the component prior to failure of the component.
摘要翻译： 提供了用于预测风力发电机故障的方法和系统。 一个示例性方法包括从多个风力涡轮机的运行数据确定风力涡轮机的部件的参数轮廓，从多个风力涡轮机的异常警报中确定风力涡轮机的部件的异常轮廓，并且确定概率 基于参数轮廓和异常轮廓的风力涡轮机部件故障。 参数配置文件定义在组件发生故障之前与组件相关联的至少一个参数事件，并且异常配置文件在组件故障之前定义与组件相关联的至少一个异常。
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