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21. 发明申请

US20140336966A1 METHOD AND APPARATUS TO AUTOMATICALLY CREATE VIRTUAL SENSORS WITH TEMPLATES 审中-公开
标题翻译：用模板自动创建虚拟传感器的方法和装置
公开(公告)号：US20140336966A1
公开(公告)日：2014-11-13
申请号：US14338027
申请日：2014-07-22
申请人： Applied Materials, Inc.
发明人： Natalia Kroupnova , Aleksey Yanovich , Thorsten Kril , Mikhail B. Kozine
IPC分类号： G05B19/418 , G05B23/00
CPC分类号： G05B19/41875 , G05B23/00 , G05B23/021 , G05B23/0221 , G05B23/0254 , Y02P90/14 , Y02P90/18 , Y02P90/20
摘要： A method and apparatus for automatically providing a virtual sensor have been described. In one embodiment, a method for automatically providing a virtual sensor includes receiving a plurality of virtual sensor templates from a server. The method further includes selecting a virtual sensor template from the plurality of virtual sensor templates. The selected virtual sensor template has an algorithm to provide a desired functionality. The method further includes selecting at least one parameter to configure the selected virtual sensor template. The method further includes automatically creating a virtual sensor associated with the selected virtual sensor template.
摘要翻译：已经描述了用于自动提供虚拟传感器的方法和装置。在一个实施例中，用于自动提供虚拟传感器的方法包括从服务器接收多个虚拟传感器模板。该方法还包括从多个虚拟传感器模板中选择虚拟传感器模板。所选择的虚拟传感器模板具有提供所需功能的算法。该方法还包括选择至少一个参数以配置所选择的虚拟传感器模板。该方法还包括自动创建与所选择的虚拟传感器模板相关联的虚拟传感器。

22. 发明授权

US08682824B2 Method and device for monitoring the state of a facility 有权
标题翻译：监控设施状态的方法和装置
公开(公告)号：US08682824B2
公开(公告)日：2014-03-25
申请号：US13383841
申请日：2010-07-28
申请人： Hisae Shibuya , Shunji Maeda
发明人： Hisae Shibuya , Shunji Maeda
IPC分类号： G06N5/00
CPC分类号： G05B23/021 , G06N99/005
摘要： This invention provides method for detecting advance signs of anomalies, event signals outputted from the facility are used to create a separate mode for each operating state, a normal model is created for each mode, the sufficiency of learning data for each mode is checked, a threshold is set according to the results of said check, and anomaly identification is performed using said threshold. Also, for diagnosis, a frequency matrix is created in advance, with result events on the horizontal axis and cause events on the vertical axis, and the frequency matrix is used to predict malfunctions. Malfunction events are inputted as result events, and quantized sensor signals having anomaly measures over the threshold are inputted as cause events.
摘要翻译：本发明提供了用于检测异常的提前符号的方法，从设施输出的事件信号用于为每个操作状态创建单独的模式，为每个模式创建正常模型，检查每种模式的学习数据的充分性，根据所述检查的结果设定阈值，使用所述阈值进行异常识别。另外，为了进行诊断，预先创建频率矩阵，结果事件在水平轴上，导致垂直轴上的事件，频率矩阵用于预测故障。作为结果事件输入故障事件，并且将具有超过阈值的异常测量的量化的传感器信号作为原因事件输入。

23. 发明授权

US08671065B2 Methods and apparatus of monitoring an evolving system using selected functional nest 有权
标题翻译：使用选定功能巢监测演进系统的方法和装置
公开(公告)号：US08671065B2
公开(公告)日：2014-03-11
申请号：US12451757
申请日：2008-05-29
申请人： Ivan Stuart Cole , David Alan Paterson
发明人： Ivan Stuart Cole , David Alan Paterson
IPC分类号： G06N3/00
CPC分类号： G05B23/021 , G05B23/0254
摘要： A method of monitoring an evolving system, the method including the steps of: obtaining a plurality of sensor data streams relating to outputs from sensors monitoring said system, wherein at least one of said sensors monitors a condition of said system, and wherein at least one of said sensors monitors a causal agent for said condition; iteratively constructing a plurality of functional nests, each functional nest being a functional formed from a combination of selected functionals from a basic set of functionals; determining an output data stream for each functional nest by inputting said sensor data streams into said functional nests; selecting a functional nest from said plurality of functional nests based on said output data streams; and using said selected functional nest to monitor said system.
摘要翻译：一种监测演进系统的方法，所述方法包括以下步骤：获得与监视所述系统的传感器的输出相关的多个传感器数据流，其中所述传感器中的至少一个监控所述系统的状态，并且其中至少一个所述传感器监测所述病症的致病因子; 迭代地构造多个功能巢，每个功能嵌套是从基本功能组的选定功能的组合形成的功能; 通过将所述传感器数据流输入到所述功能巢中来确定每个功能嵌套的输出数据流; 基于所述输出数据流从所述多个功能巢中选择功能嵌套; 以及使用所述选定的功能座来监视所述系统。

24. 发明申请

US20140046881A1 METHOD FOR MONITORING OF ROTATING MACHINES 有权
标题翻译：旋转机械监控方法
公开(公告)号：US20140046881A1
公开(公告)日：2014-02-13
申请号：US13959923
申请日：2013-08-06
申请人： PRÜFTECHNIK AG
发明人： Johann Lösl , Edwin Becker , Horst Göhlich
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G05B23/021 , G05B23/0245
摘要： 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.
摘要翻译：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。

25. 发明授权

US08489360B2 Multivariate monitoring and diagnostics of process variable data 有权
标题翻译：过程变量数据的多变量监测和诊断
公开(公告)号：US08489360B2
公开(公告)日：2013-07-16
申请号：US11688795
申请日：2007-03-20
申请人： Marcus R. Lundeberg , Nikola Samardzija , John P. Miller
发明人： Marcus R. Lundeberg , Nikola Samardzija , John P. Miller
IPC分类号： G06F17/18 , G06F19/00
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： A system and method of monitoring and diagnosing on-line multivariate process variable. Multivariate process data includes multiple process variables each having a multiple observations. On-line process data is collected from a process control system when the process is on-line. The on-line process data includes multiple observations of multiple process variables. A multivariate statistical analysis represents the operation of the process based on a set of the on-line process data. The representation a result. The representation and the set of on-line process data are stored. An output is generated based on a parameter of the representation. The parameter includes a result generated by the representation of the operation of the process, a process variable used to generate the representation of the operation of the process and/or the set of collected on-line process data.
摘要翻译：一种监测和诊断在线多变量过程变量的系统和方法。多变量过程数据包括多个过程变量，每个过程变量具有多个观察值。当过程在线时，从过程控制系统收集在线过程数据。在线过程数据包括多个过程变量的多个观察值。多变量统计分析表示基于一组在线过程数据的过程的操作。表示结果。存储表示和一组在线过程数据。基于表示的参数生成输出。该参数包括由过程的操作的表示生成的结果，用于生成过程的操作的表示的过程变量和/或所收集的在线过程数据的集合。

26. 发明授权

US08121817B2 Abnormal event detection using principal component analysis 失效
标题翻译：使用主成分分析的异常事件检测
公开(公告)号：US08121817B2
公开(公告)日：2012-02-21
申请号：US12311785
申请日：2007-10-16
申请人： Keith Landells , Zaid Rawi
发明人： Keith Landells , Zaid Rawi
IPC分类号： G05B13/04
CPC分类号： G05B23/0254 , G05B23/021 , G05B23/024
摘要： Process control system for detecting abnormal events in a process having one or more independent variables and one or more dependent variables. The system includes a device for measuring values of the one or more independent and dependent variables, a process controller having a predictive model for calculating predicted values of the one or more dependent variables from the measured values of the one or more independent variables, a calculator for calculating residual values for the one or more dependent variables from the difference between the predicted and measured values of the one or more dependent variables, and an analyzer for performing a principal component analysis on the residual values. The process controller is a multivariable predictive control means and the principal component analysis results in the output of one or more scores values, T2 values and Q values.
摘要翻译：用于检测具有一个或多个独立变量和一个或多个因变量的过程中的异常事件的过程控制系统。该系统包括用于测量一个或多个独立和从属变量的值的装置，具有用于根据一个或多个独立变量的测量值计算一个或多个从属变量的预测值的预测模型的过程控制器，计算器用于根据一个或多个因变量的预测值和测量值之间的差异计算一个或多个因变量的残差值，以及用于对残差值进行主成分分析的分析器。过程控制器是一个多变量预测控制手段，主成分分析得出一个或多个分数值，T2值和Q值的输出。

27. 发明授权

US07930130B2 Method and system for reducing device test time 有权
标题翻译：减少设备测试时间的方法和系统
公开(公告)号：US07930130B2
公开(公告)日：2011-04-19
申请号：US12166446
申请日：2008-07-02
申请人： Charlotte Sakarovitch , Marielle Perrin , Laurent Zenouda
发明人： Charlotte Sakarovitch , Marielle Perrin , Laurent Zenouda
IPC分类号： G06F19/00 , G01R31/28
CPC分类号： G05B23/021 , G05B13/024 , G05B23/0256
摘要： A system and method for reducing device test time are disclosed herein. A method for reducing device test time includes applying a linear program solver to select a first set of tests for testing a device from a second set of tests for testing the device. The first set of tests is selected to reduce the time required to test the device while allowing no more than a predetermined number of devices tested to pass the first set of tests and fail the second set of tests.
摘要翻译：本文公开了一种用于减少设备测试时间的系统和方法。一种用于减少设备测试时间的方法包括应用线性程序求解器来从用于测试设备的第二组测试中选择用于测试设备的第一组测试。选择第一组测试以减少测试设备所需的时间，同时允许不超过预定数量的被测试的设备通过第一组测试，并且在第二组测试中失败。

28. 发明申请

US20100242434A1 METHOD OF MONITORING A THRUST REVERSER 有权
标题翻译：监控逆转器的方法
公开(公告)号：US20100242434A1
公开(公告)日：2010-09-30
申请号：US12728641
申请日：2010-03-22
申请人： Alain Nicolas BADER , Thomas DEGUIN , Régis Xavier FLANDROIS , André Jean-Rémi MASSE , Maurice Yves Mickaël SAUZEDDE , Camille Jean-Julien VONFELT
发明人： Alain Nicolas BADER , Thomas DEGUIN , Régis Xavier FLANDROIS , André Jean-Rémi MASSE , Maurice Yves Mickaël SAUZEDDE , Camille Jean-Julien VONFELT
IPC分类号： F02K3/02
CPC分类号： F02K1/76 , F05D2260/80 , G05B23/021 , G05B23/0283
摘要： The method of the invention for monitoring a thrust reverser of a turbojet having an actuator controlled by an electric motor consists in determining a maintenance notice from a weighted combination of provisional notices, each provisional notice relating to a category of parameters associated with at least one phase of an operating cycle of the reverser, the category being selected from a category of parameters representative of a duration of said phase, of an energy seen by the motor during said phase, of a torque seen by the motor at a predefined instant of said phase, and of a duration during which the setpoint speed of rotation and the measured speed of rotation of the motor differ during said phase, each provisional notice being generated by analyzing values obtained during at least one cycle for at least one parameter of said category relative to a degradation threshold.
摘要翻译：用于监测具有由电动机控制的致动器的涡轮喷气发动机的推力反向器的本发明的方法在于根据临时通知的加权组合来确定维护通知，每个临时通知涉及与至少一个相位相关联的参数类别反转器的操作周期的类别从表示所述相位的持续时间的参数的类别中选择电动机在所述阶段期间看到的能量，在电动机在所述相位的预定时刻看到的转矩以及在所述阶段期间电动机的设定转速和所测量的旋转速度不同的持续时间，每个临时通知是通过分析在至少一个循环期间获得的关于所述类别的至少一个参数的值相对于降级阈值。

29. 发明申请

US20090012653A1 USE OF STATISTICAL ANALYSIS IN POWER PLANT PERFORMANCE MONITORING 有权
标题翻译：统计分析在发电厂性能监测中的应用
公开(公告)号：US20090012653A1
公开(公告)日：2009-01-08
申请号：US12047217
申请日：2008-03-12
申请人： Xu Cheng , Frederick C. Huff , Peter N. Francino , Konrad Swirski
发明人： Xu Cheng , Frederick C. Huff , Peter N. Francino , Konrad Swirski
IPC分类号： G06F1/26
CPC分类号： F23N5/242 , F23N2023/44 , F23N2025/24 , F23N2037/10 , G05B23/021 , G05B23/024 , G05B23/0294 , Y02P80/114
摘要： A technique of implementing performance monitoring in a power plant is appropriate to control operating parameters and factors connected with the efficiency of the energy production process in an energy marketplace that is more complex than in the past, and that takes into account more than just the cost of fuel. In particular, this method works well when the real costs of production are dependent on other variable costs besides the cost of fuel, such as environmental credits, equipment degradation and repair costs, as well as electrical energy trade market factors like ramp rate, LMP factors, and the ability to deliver contracted power levels and spot transactions. The power plant performance monitoring technique applies a statistical analysis to collected power plant data to determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, in whatever state or operating level the plant is run. Because heat rate calculation applications are typically performed on-line, it is possible to analyze collected plant data in detail and to apply for example, principal component analysis (PCA) and linear and nonlinear regression analysis to the data, which enables the performance method to obtain a more accurate detection of the influence of the principal process parameters that affect heat rate deviation (efficiency), as well as to establish baseline or best-possible operational constraints to be used to control the plant in the future. This performance based control methodology will allow for near optimum performance of power plants by constantly allowing for refinement and best practices and control to be realized.
摘要翻译：在电厂中实施性能监测的技术适用于控制与能源市场中能源生产过程效率相关的运行参数和因素，这些能源市场比以往更复杂，并且不仅考虑到成本的燃料。特别是，当生产的实际成本取决于其他可变成本，除了燃料成本（如环境信贷，设备退化和维修成本）以及电能贸易市场因素如升温速率，LMP因素，以及提供合同权力水平和现货交易的能力。电厂性能监测技术对收集的电厂数据进行统计分析，以确定最佳控制或改变的因素，以影响（增加）工厂的效率或其他主要性能指标，无论工厂的任何状态或操作级别跑。由于热速率计算应用通常在线进行，因此可以详细分析采集的工厂数据，并将主成分分析（PCA）和线性和非线性回归分析应用于数据，这使得性能方法能够更准确地检测影响热耗率偏差（效率）的主要工艺参数的影响，以及建立将来用于控制工厂的基准或最佳可能的操作限制。这种基于性能的控制方法将通过不断允许精细化和最佳实践和控制来实现发电厂的近似最佳性能。

30. 发明申请

US20080082297A1 MULTIVARIATE MONITORING AND DIAGNOSTICS OF PROCESS VARIABLE DATA 有权
标题翻译：过程变量数据的多重监测和诊断
公开(公告)号：US20080082297A1
公开(公告)日：2008-04-03
申请号：US11688795
申请日：2007-03-20
申请人： Marcus R. Lundeberg , Nikola Samardzija , John P. Miller
发明人： Marcus R. Lundeberg , Nikola Samardzija , John P. Miller
IPC分类号： G21C17/00
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line, where the representation of the operation of the process is adapted to be executed to generate a result, storing the representation of the operation of the process and the set of collected on-line process data, and generating an output based on a parameter of the representation of the operation of the process, where the parameter of the representation of the operation of the process comprises one or more of a result generated by the representation of the operation of the process, a process variable used to generate the representation of the operation of the process and the set of collected on-line process data.
摘要翻译：一种在过程工厂中监视和诊断在线多变量过程变量数据的系统和方法，其中多变量过程数据包括多个具有多个观察值的过程变量，包括从过程控制系统收集在线过程数据在过程在线的过程工厂内，收集的在线过程数据包括多个过程变量的多个观察结果，执行多变量统计分析以基于收集的集合来表示过程的操作在线过程数据包括当过程在线时的过程的操作的度量，其中过程的操作的表示适于被执行以生成结果，存储过程的操作的表示以及收集的在线过程数据的集合，并且基于对proc的操作的表示的参数生成输出其中过程的操作的表示的参数包括由过程的操作的表示生成的结果中的一个或多个，用于生成过程的操作的表示的过程变量和收集在线过程数据。

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