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    System and method for identifying and assembling sensor combinations optimized for output requirements
    1.
    发明授权
    System and method for identifying and assembling sensor combinations optimized for output requirements 有权

    公开(公告)号：US12105506B1

    公开(公告)日：2024-10-01

    申请号：US17648919

    申请日：2022-01-25

    Applicant: REALITY ANALYTICS, INC.

    Inventor： Jeffrey Sieracki

    IPC: G06N20/00 ,  G05B23/02

    CPC classification number: G05B23/0245 ,  G05B23/0254 ,  G06N20/00

    Abstract: A system and method are provided for identification of a combination of sensors suitable for achieving a set of output requirements, enabling assembly thereof. An arrangement of sensors is assembled according to an optimized sensor set, generated to define at least one sensor channel having a threshold value for at least one quality criterion. The sensor sets are generated by down-selection of the sensor channels from a previously tested set of available channels to a subset mapping to a set of required output states. Assignment of a threshold value for each sensor channel is based on a mapping of the value to a target value of a performance metric.

    INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
    3.
    发明公开
    INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD 审中-公开

    公开(公告)号：US20230376023A1

    公开(公告)日：2023-11-23

    申请号：US18031172

    申请日：2020-12-18

    Applicant: Mitsubishi Electric Corporation

    Inventor： Naoto TAKANO ,  Yoichi HORISAWA

    IPC: G05B23/02

    CPC classification number: G05B23/024 ,  G05B23/0245

    Abstract: In an information processing apparatus, an internal variable holding unit holds a smaller number of values of an internal variable than N, the internal variable being sequentially calculated in time series based on sensor data acquired by a sensor data acquisition unit. An internal variable calculation unit calculates the internal variable corresponding to a (j+1)-th time point (j is an integer of one to N−1) based on the sensor data at the (j+1)-th time point and the internal variable corresponding to a j-th time point. A feature calculation unit calculates a feature by extracting a statistical characteristic included in the sensor data from the first time point to the N-th time point based on the internal variable at the N-th time point. A state diagnosis unit makes a diagnosis of a state of the mechanical apparatus based on the feature.

    System and method for operational phase detection
    5.
    发明授权
    System and method for operational phase detection 有权

    公开(公告)号：US10019855B2

    公开(公告)日：2018-07-10

    申请号：US15157892

    申请日：2016-05-18

    Applicant: THE BOEING COMPANY

    Inventor： Changzhou Wang ,  Jun Yuan ,  Brian K. Predmore

    IPC: G07C5/08 ,  B64D43/02 ,  B64D45/00 ,  G05B23/02

    CPC classification number: G07C5/0841 ,  B64D43/02 ,  B64D45/0005 ,  G05B23/021 ,  G05B23/0245

    Abstract: A method includes obtaining data associated with operation of a vehicle and determining a first operational phase of the vehicle based on the data. The method includes identifying a candidate operational phase transition from the first operational phase to a candidate operational phase based on a first portion of the data satisfying a first condition associated with the candidate operational phase, the first portion of the data associated with a first time. The method includes evaluating a second portion of the data based on a second condition associated with the candidate operational phase, the second portion of the data associated with a second time that is subsequent to the first time. The method further includes, based on the second condition being satisfied, generating an operational phase transition indication associated with the first time and that indicates an operational phase transition to the candidate operational phase.

    Method for monitoring of rotating machines
    7.
    发明授权
    Method for monitoring of rotating machines 有权
    旋转机器监控方法

    公开(公告)号：US09324037B2

    公开(公告)日：2016-04-26

    申请号：US13959923

    申请日：2013-08-06

    Applicant: Prüftechnik AG

    Inventor： Johann Lösl ,  Edwin Becker ,  Horst Göhlich

    IPC: G06N99/00 ,  G05B23/02

    CPC classification number: G06N99/005 ,  G05B23/021 ,  G05B23/0245

    Abstract: Method for monitoring of a wind power plant operated in variable operating states. Start sensor data is obtained in at least one basic operating state of the machine; based on the start sensor data, a starting model with a rule set for conducting the monitoring is set up, the rule set determining which parameters are to be monitored, in which manner and with which weighting and which sensor data are to be obtained and used for this purpose; a reference SOM is prepared using the rule set with sensor data selected using the rule set and obtained in a reference operating phase of the machine; during a monitoring operating phase, time characteristics of a quantization error of the sensor data selected using the rule set being tracked with respect to the reference SOM, troubleshooting being started if the quantization error meets a criterion which is dictated by the rule set.

    Abstract translation: 用于监控可变运行状态下运行的风力发电厂的方法。 在机器的至少一个基本操作状态下获得启动传感器数据; 基于启动传感器数据，建立具有用于进行监视的规则集的起始模型，该规则集确定要监视哪些参数，以何种方式和哪些权重以及哪些传感器数据被获取和使用 以此目的; 使用规则集准备参考SOM，该规则集具有使用规则集选择且在机器的参考操作阶段中获得的传感器数据; 在监视操作阶段期间，使用相对于参考SOM跟踪的规则集所选择的传感器数据的量化误差的时间特性，如果量化误差满足由规则集所规定的标准，故障排除开始。

    Learning Expected Operational Behavior Of Machines From Generic Definitions And Past Behavior
    8.
    发明申请
    Learning Expected Operational Behavior Of Machines From Generic Definitions And Past Behavior 审中-公开
    从通用定义和过去行为学习机器的预期操作行为

    公开(公告)号：US20150149134A1

    公开(公告)日：2015-05-28

    申请号：US14092737

    申请日：2013-11-27

    Applicant: Falkonry Inc.

    Inventor： NIKUNJ R. MEHTA ,  PRASANTA BOSE

    IPC: G06F17/50

    CPC classification number: G06F17/5009 ,  G05B23/0227 ,  G05B23/0245

    Abstract: In an embodiment, a data processing method comprises storing one or more generic machine operating definitions, wherein each of the generic machine operating definitions describes expected operational behavior of one or more types of machines during one or more operating states; analyzing operating data that describes past operation of a plurality of machines of a plurality of types; based at least in part on the operating data and the one or more generic machine operating definitions, generating and storing one or more machine operating models that describe expected operational behavior corresponding to a plurality of operating states of the plurality of machines; wherein the one or more machine operating models comprise a plurality of data patterns, wherein each of the data patterns is associated with a different set of one or more operating states of one or more machines; wherein the method is performed by one or more computing devices.

    Abstract translation: 在一个实施例中，数据处理方法包括存储一个或多个通用机器操作定义，其中每个通用机器操作定义描述一个或多个类型的机器在一个或多个操作状态期间的预期操作行为; 分析描述多种类型的多台机器的过去操作的操作数据; 至少部分地基于操作数据和一个或多个通用机器操作定义，生成和存储描述与多个机器的多个操作状态相对应的预期操作行为的一个或多个机器操作模型; 其中所述一个或多个机器操作模型包括多个数据模式，其中每个数据模式与一个或多个机器的一个或多个操作状态的不同集合相关联; 其中所述方法由一个或多个计算设备执行。

    METHOD AND SYSTEM FOR REAL TIME GAS TURBINE PERFORMANCE ADVISORY
    9.
    发明申请
    METHOD AND SYSTEM FOR REAL TIME GAS TURBINE PERFORMANCE ADVISORY 审中-公开
    实时气体涡轮机性能咨询的方法和系统

    公开(公告)号：US20150027212A1

    公开(公告)日：2015-01-29

    申请号：US14382049

    申请日：2013-03-01

    Applicant: Nuovo Pignone Srl

    Inventor： Ever Avriel Fadlun ,  Abdurrahman Abdalah Khalidi ,  Marco Pieri ,  Arul Saravanapriyan ,  Osama Naim Ashour

    IPC: G01M15/14 ,  G01L3/10 ,  F04B51/00

    CPC classification number: G05B23/0245 ,  F01D21/003 ,  F02C7/00 ,  F04B51/00 ,  F05D2260/80 ,  G01K13/00 ,  G01L3/10 ,  G01M15/14 ,  G05B11/06 ,  G05B23/0216 ,  G05B23/0218 ,  G05B23/0283 ,  H04L67/10

    Abstract: A system and method for monitoring and diagnosing anomalies in an output of a gas turbine, the method including storing a plurality rule sets specific to a performance of the gas turbine. The method further including receiving real-time and historical data inputs relating to parameters affecting the performance of the gas turbine, periodically determining current values of the parameters, comparing the initial values to respective ones of the current values, determining a degradation over time of the at least one of the performance of the compressor, the power output, the heat rate, and the fuel consumption based on the comparison, recommending to an operator of the gas turbine a set of corrective actions to correct the degradation.

    Abstract translation: 一种用于监测和诊断燃气轮机的输出中的异常的系统和方法，所述方法包括存储特定于燃气轮机性能的多个规则集。 该方法还包括接收与影响燃气轮机性能的参数有关的实时和历史数据输入，周期性地确定参数的当前值，将初始值与当前值中的相应值相比较，确定时间上的劣化 基于比较的压缩机的性能，功率输出，热量和燃料消耗中的至少一个，向燃气轮机的操作者推荐一组纠正降级的校正动作。

    EQUIPMENT CONDITION AND PERFORMANCE MONITORING USING COMPREHENSIVE PROCESS MODEL BASED UPON MASS AND ENERGY CONSERVATION
    10.
    发明申请
    EQUIPMENT CONDITION AND PERFORMANCE MONITORING USING COMPREHENSIVE PROCESS MODEL BASED UPON MASS AND ENERGY CONSERVATION 审中-公开
    使用基于质量和能源保护的综合过程模型的设备状况和性能监测

    公开(公告)号：US20140316754A1

    公开(公告)日：2014-10-23

    申请号：US14259914

    申请日：2014-04-23

    Applicant: Invensys Systems Inc.

    Inventor： Terrill L. Greenlee

    IPC: G06F17/50

    CPC classification number: G05B23/0283 ,  G05B23/0245 ,  G05B2219/31357 ,  Y02P90/14

    Abstract: A method and apparatus capable of monitoring performance of a process and of the condition of equipment units effecting such process is disclosed. A process model predicated upon mass and energy balancing is developed on the basis of a plurality of generally nonlinear models of the equipment units. At least one or more of such equipment models are characterized by one or more adjustable maintenance parameters. Data relating to mass and energy transfer within the process is collected and is reconciled with the mass and energy characteristics of the process predicted by the model. The condition of the equipment units and process performance may then be inferred by monitoring the values of the maintenance parameters over successive data reconciliation operations.

    Abstract translation: 公开了能够监视过程的性能和影响这种处理的设备单元的状况的方法和装置。 基于质量和能量平衡的过程模型是在设备单元的多个通常非线性模型的基础上开发的。 至少一个或多个这样的设备型号的特征在于一个或多个可调维护参数。 收集与过程中质量和能量转移有关的数据，并与模型预测的过程的质量和能量特征相协调。 然后可以通过在连续的数据调节操作中监视维护参数的值来推断设备单元和过程性能的状况。

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