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    METHOD FOR ASSESSING HEALTH CONDITIONS OF INDUSTRIAL EQUIPMENT
    22.
    发明公开
    METHOD FOR ASSESSING HEALTH CONDITIONS OF INDUSTRIAL EQUIPMENT 审中-公开
    评估工业设备健康状况的方法

    公开(公告)号：EP3258332A1

    公开(公告)日：2017-12-20

    申请号：EP16174113.7

    申请日：2016-06-13

    申请人： ABB Schweiz AG

    发明人： Magoni, Stefano ,  Cavalli, Luca ,  Turrin, Simone

    IPC分类号： G05B23/02

    CPC分类号： G05B23/0283

    摘要： Method (1) for assessing health conditions of industrial equipment (S), said equipment having one or more determined failure modes (F 1 , ..., F N ), each of said failure modes having one or more determined failure causes (FC D1 , ..., FC DK ) and/or one or more undetermined failure causes (FC U1 , ..., FC UM ), characterised it comprises:
    - acquiring (2) input data (D IN ) related to said equipment;
    - calculating (3) failure mode assessment data (R Fi , RUL Fi , A Fi , RSK Fi , POF Fi ) for each failure mode (F i ) determined for said equipment, wherein the calculation of said failure mode assessment data comprises:
    - if said failure mode (F i ) has one or more determined failure causes (FC DI , ..., FC DK ):
    - executing (31) a first calculation procedure (11) to calculate failure cause assessment data (R FCj , RUL FCj , A FCj ) for each failure cause (FC Dj ) determined for said failure mode, said failure cause assessment data being calculated on the basis of said input data (D IN );
    - calculating (32) said failure mode assessment data on the basis of the failure cause assessment data (R FCj , RUL FCj , A FCj ) calculated for each failure cause (FC Dj ) determined for said failure mode;

    - if said failure mode (F i ) has one or more undetermined failure causes (FC U1 , ..., FC UM ), executing (33) a second calculation procedure (32) to calculate said failure mode assessment data, said failure mode assessment data being calculated on the basis of said input data (D IN );

    - calculating (4) a system assessment data (R S , RUL S , As, RSK S , POF S ) for said equipment, said system assessment data being calculated on the basis of said failure mode assessment data (R Fi , RUL Fi , A Fi , RSK Fi , POF Fi ).

    摘要翻译： 用于评估工业设备（S）的健康状况的方法（1），所述设备具有一个或多个确定的故障模式（F1，...，FN），每个所述故障模式具有一个或多个确定的故障原因（FCD1，...， ...，FCDK）和/或一个或多个未确定的故障原因（FCU1，...，FCUM），其特征在于包括： - 获取（2）与所述设备有关的输入数据（DIN） - 针对为所述设备确定的每个故障模式（Fi）计算（3）故障模式评估数据（RFi，RULFi，AFi，RSKFi，POFFi），其中所述故障模式评估数据的计算包括： - 如果所述故障模式 ）具有一个或多个确定的故障原因（FCDI，...，FCDK）： - 执行（31）第一计算过程（11）以计算每个故障原因（FCDj）的故障原因评估数据（RFCj，RULFCj，AFCj） 针对所述故障模式确定所述故障原因评估数据是基于所述输入数据（DIN）计算的; - 基于针对针对所述故障模式确定的每个故障原因（FCDj）计算的故障原因评估数据（RFCj，RULFCj，AFCj）来计算（32）所述故障模式评估数据; - 如果所述故障模式评估数据是具有一个或多个未确定的故障原因（FCU1，...，FCUM），则执行（33）第二计算过程（32）以计算所述故障模式评估数据， 根据所述输入数据（DIN）计算; - 计算（4）所述设备的系统评估数据（RS，RULS，As，RSKS，POFS），所述系统评估数据基于所述故障模式评估数据（RFi，RULFi，AFi，RSKFi，POFFi） 。

    TASK-BASED HEALTH DATA MONITORING OF AIRCRAFT COMPONENTS
    23.
    发明公开
    TASK-BASED HEALTH DATA MONITORING OF AIRCRAFT COMPONENTS 审中-公开
    基于任务的飞机组件健康数据监测

    公开(公告)号：EP3244354A1

    公开(公告)日：2017-11-15

    申请号：EP16172865.4

    申请日：2016-06-03

    申请人： Bell Helicopter Textron Inc.

    发明人： TUCKER, Brian Edward

    IPC分类号： G06Q10/06 ,  B64D45/00 ,  G05B23/02

    CPC分类号： B64D45/00 ,  B64D2045/0085 ,  G05B23/0283 ,  G06Q10/06 ,  G07C5/002 ,  G07C5/006 ,  G07C5/008 ,  G07C5/0816 ,  G07C5/0841 ,  G07C5/085

    摘要： Systems and methods are provided for task-based health data monitoring relating to aircraft components of aircraft within an aircraft fleet (12). One method includes identifying health data of an aircraft component for potential monitoring based upon a condition indicator provided by a health and usage monitoring system (14), establishing a Review Item for the health data of the aircraft component having an initial data review state of New Data, thereby creating a Review Task, generating images of the Review Item for display and receiving an indication to change the data review state of the Review Item from New Data to Watch Data, receiving new health data relating to the aircraft component from the health and usage monitoring system (14) and automatically resetting the data review state of the Review Item from Watch Data to New Data responsive to the receipt of the new health data, thereby creating a new Review Task.

    摘要翻译： 系统和方法被提供用于与飞机机队内飞机的飞机部件相关的基于任务的健康数据监测（12）。 一种方法包括基于由健康和使用监测系统（14）提供的状况指示标识用于潜在监测的飞行器部件的健康数据，建立具有初始数据审查状态New的飞机部件的健康数据的评论项目 数据，由此创建评论任务，生成用于显示的评论项目的图像并且接收将评论项目的数据评论状态从新数据改变为观察数据的指示，从健康接收与飞机组件相关的新健康数据，以及 并且响应于接收到新的健康数据而自动地将审查项目的数据审查状态从监视数据重置为新数据，从而创建新的审阅任务。

    COST-DRIVEN SYSTEM AND METHOD FOR PREDICTIVE EQUIPMENT FAILURE DETECTION
    24.
    发明公开
    COST-DRIVEN SYSTEM AND METHOD FOR PREDICTIVE EQUIPMENT FAILURE DETECTION 审中-公开
    成本驱动系统和预测设备故障检测方法

    公开(公告)号：EP3211502A1

    公开(公告)日：2017-08-30

    申请号：EP17154090.9

    申请日：2017-01-31

    申请人： Honeywell International Inc.

    发明人： ZIRNSTEIN, Jan ,  GERMANN, David J. ,  LIGHT, Marc ,  STEWART, Gregory E. ,  GRUNOW, Jonathan T.

    IPC分类号： G05B23/02

    CPC分类号： G06N5/04 ,  G05B23/0283 ,  G06N99/005

    摘要： A method includes identifying (906) costs associated with different outcomes of a failure prediction algorithm (300). The algorithm is configured to predict one or more faults with at least one piece of industrial equipment (102a-102c, 302, 602-620). The different outcomes include both successful and unsuccessful predictions by the algorithm. The method also includes identifying (906) a threshold value for the algorithm using the costs, where the threshold value is used by the failure prediction algorithm to identify whether maintenance of the at least one piece of industrial equipment is needed. The method further includes providing (908) the threshold value to the algorithm. The threshold value is selected such that a net positive economic benefit is obtained from use of the threshold value with the failure prediction algorithm. In addition, the method can include generating a signal indicating whether maintenance is needed based on a comparison of an indicator value calculated using the algorithm and the threshold value.

    摘要翻译： 一种方法包括识别（906）与故障预测算法（300）的不同结果相关联的成本。 该算法被配置为用至少一件工业设备（102a-102c，302,602-620）预测一个或多个故障。 不同的结果包括算法的成功和不成功预测。 该方法还包括使用成本来识别（906）算法的阈值，其中，故障预测算法使用阈值来识别是否需要维护至少一件工业设备。 该方法进一步包括向算法提供（908）阈值。 选择阈值使得通过使用具有故障预测算法的阈值来获得净正的经济效益。 此外，该方法可以包括基于使用算法计算的指标值与阈值的比较来生成指示是否需要维护的信号。

    METHOD AND SYSTEM FOR MODULATED TURBINE COOLING AS A FUNCTION OF ENGINE HEALTH
    25.
    发明公开
    METHOD AND SYSTEM FOR MODULATED TURBINE COOLING AS A FUNCTION OF ENGINE HEALTH 审中-公开
    用于调制涡轮冷却作为发动机健康功能的方法和系统

    公开(公告)号：EP3208442A1

    公开(公告)日：2017-08-23

    申请号：EP17155681.4

    申请日：2017-02-10

    申请人： General Electric Company

    发明人： ADIBHATLA, Sridhar

    IPC分类号： F02C7/12 ,  F02C9/18 ,  F02C9/00 ,  G05B23/02

    CPC分类号： F02C7/12 ,  F02C9/00 ,  F02C9/18 ,  F02K3/02 ,  F05D2260/20 ,  F05D2260/80 ,  F05D2260/81 ,  F05D2270/07 ,  F05D2270/112 ,  F05D2270/3062 ,  G05B23/0283 ,  Y02T50/675

    摘要： A modulated turbine cooling (MTC) control system (180) is provided. The MTC control system (180) includes a processor (202) in communication with a memory (204). The processor (202) is programmed to determine a cooling flow requirement of an engine component (128, 130) for each of a plurality of operating conditions. The processor (202) is further programmed to channel the determined required flow to the engine component (128, 130) during each respective operating condition of the plurality of operating conditions. The processor (202) is also programmed to assess a health of the engine component (128, 130), and modify the determined cooling flow requirement based on the assessed health of the engine component (128, 130). The processor (202) is further programmed to supply the modified cooling flow requirement to the engine component (128, 130) during each subsequent respective operating condition of the plurality of operating conditions.

    摘要翻译： 提供了调制涡轮机冷却（MTC）控制系统（180）。 MTC控制系统（180）包括与存储器（204）通信的处理器（202）。 处理器（202）被编程为针对多个操作条件中的每一个确定发动机部件（128,130）的冷却流量要求。 处理器（202）被进一步编程为在多个运行条件的每个相应运行条件期间将所确定的所需流量引导至发动机部件（128,130）。 处理器（202）还被编程为评估发动机部件（128,130）的健康状况，并且基于所评估的发动机部件（128,130）的健康状况来修改所确定的冷却流量需求。 处理器（202）还被编程为在多个运行条件中的每个随后的相应运行条件期间将修改的冷却流量要求提供给发动机部件（128,130）。

    MODEL BASED SYSTEM MONITORING
    26.
    发明公开
    MODEL BASED SYSTEM MONITORING 审中-公开
    基于模型的系统监控

    公开(公告)号：EP3206103A1

    公开(公告)日：2017-08-16

    申请号：EP17155677.2

    申请日：2017-02-10

    申请人： United Technologies Corporation

    发明人： HAYE, Sheridon Everette

    IPC分类号： G05B23/02

    CPC分类号： G06F17/5009 ,  G05B23/0256 ,  G05B23/0283 ,  G06F17/5086 ,  G06N3/088

    摘要： According to an aspect, a method includes configuring a predictive system model (116) with a plurality of component models (204A-N) to correspond with a modeled state of a mechanical system (100). A set of perturbation inputs (222) is applied to one or more of the component models to produce a plurality of prediction results (118). The prediction results are compared to a targeted mode (212) of the mechanical system. A set of configuration parameters (220) of the mechanical system is captured in combination with one or more of the perturbation inputs that most closely results in the prediction results matching the targeted mode of the mechanical system.

    摘要翻译： 根据一个方面，一种方法包括配置具有多个组件模型（204A-N）的预测系统模型（116）以与机械系统（100）的建模状态相对应。 将一组摄动输入（222）应用于一个或多个部件模型以产生多个预测结果（118）。 将预测结果与机械系统的目标模式（212）进行比较。 机械系统的一组配置参数（220）与一个或多个扰动输入结合捕捉，这些扰动输入最接近地导致与机械系统的目标模式匹配的预测结果。

    LATENCY TOLERANT FAULT ISOLATION
    28.
    发明公开
    LATENCY TOLERANT FAULT ISOLATION 审中-公开
    LATENZTOLERANTE FEHLERISOLIERUNG

    公开(公告)号：EP3072046A4

    公开(公告)日：2017-07-26

    申请号：EP14864196

    申请日：2014-09-22

    申请人： SIKORSKY AIRCRAFT CORP

    发明人： MAGSON JAMES S

    IPC分类号： G06F9/44 ,  G05B23/02 ,  G06Q10/00 ,  G07C5/00 ,  G07C5/08

    CPC分类号： G07C5/00 ,  G05B23/0283 ,  G06Q10/20 ,  G07C5/0808

    摘要： A method of latency tolerant fault isolation is provided. The method includes receiving, by a maintenance data computer, evidence associated with a test failure. The maintenance data computer accesses metadata to identify a system failure mode associated with the evidence and other potential evidence associated with the system failure mode. The maintenance data computer determines a maximum predicted latency to receive the potential evidence associated with the system failure mode based on the metadata. The method also includes waiting up to the maximum predicted latency to determine whether one or more instances of the potential evidence associated with the system failure mode are received as additional evidence. The maintenance data computer diagnoses the system failure mode as a fault based on the evidence and the additional evidence.

    摘要翻译： 提供了一种延迟容忍故障隔离的方法。 该方法包括由维护数据计算机接收与测试失败相关的证据。 维护数据计算机访问元数据以识别与证据以及与系统故障模式相关的其他潜在证据相关联的系统故障模式。 维护数据计算机基于元数据确定最大预测延迟以接收与系统故障模式相关联的潜在证据。 该方法还包括等待最大预测等待时间以确定是否接收到与系统故障模式相关联的潜在证据的一个或多个实例作为附加证据。 维护数据计算机根据证据和其他证据将系统故障模式诊断为故障。