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公开(公告)号：US08489360B2
公开(公告)日：2013-07-16
申请号：US11688795
申请日：2007-03-20
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。
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公开(公告)号：US20080082297A1
公开(公告)日：2008-04-03
申请号：US11688795
申请日：2007-03-20
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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公开(公告)号：US4855695A
公开(公告)日：1989-08-08
申请号：US187678
申请日：1988-04-29
申请人： Nikola Samardzija
发明人： Nikola Samardzija
IPC分类号： H03H7/40
CPC分类号： H03H7/40
摘要： Apparatus for automatic tuning of microwave energy in a de-emulsifier system usng a wave guide applicator with impedance matching element wherein microwave energy incident on and reflected from the applicator element is continually monitored to derive an indication of voltage standing wave ratio for input to a computer that controls a servo control motor to position a phase shifter thereby to maintain an optimum voltage standing wave ratio and, therefore, maximum efficiency of emulsion irradiation.
摘要翻译： 一种用于在除乳化器系统中自动调谐微波能量的设备，使用具有阻抗匹配元件的波导施加器，其中连续监测入射到施加器元件上并从其施加反射的微波能量以导出用于输入到计算机的电压驻波比的指示 其控制伺服控制电动机来定位移相器，从而保持最佳的电压驻波比，并因此保持最大的乳液照射效率。
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4.发明授权公开(公告)号：US07966149B2
公开(公告)日：2011-06-21
申请号：US11863588
申请日：2007-09-28
申请人： Nikola Samardzija , Ahmad A. Hamad
发明人： Nikola Samardzija , Ahmad A. Hamad
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： Methods and systems to detect transient operations from abnormal operations, and to detect abnormal operations in a coker heater, include collecting on-line process data. The collected on-line process data is generated from a plurality of process variables of the process, or coker heater. A first representation of the operation of the process, or coker heater, is generated based on a first set of the collected on-line process data generated from a first set of the process variables. The first representation is adapted to be executed to generate a first result. A second representation of the operation of the process, or coker heater, is generated based on the first result and based on a second set of the collected on-line process data generated from a second set of the process variables. The second representation is adapted to be executed to generate a prediction of data generated from the second set of the process variables. The prediction is analyzed to detect an abnormal operation or to detect whether one or more abnormal operations comprises a transient operation of the process.
摘要翻译： 用于检测异常操作的瞬态操作以及检测焦化加热器异常操作的方法和系统包括收集在线过程数据。 收集的在线过程数据是从过程或焦化加热器的多个过程变量产生的。 基于从第一组过程变量产生的收集的在线过程数据的第一组生成过程操作或焦化加热器的第一表示。 第一表示适于执行以产生第一结果。 基于第一结果并基于从第二组过程变量生成的收集的在线过程数据的第二组生成过程操作或焦化加热器的第二表示。 第二表示适于执行以产生从第二组过程变量生成的数据的预测。 分析预测以检测异常操作或检测一个或多个异常操作是否包括该过程的暂时操作。
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5.发明授权On-line monitoring and diagnostics of a process using multivariate statistical analysis 有权使用多变量统计分析的过程的在线监测和诊断公开(公告)号：US07853431B2
公开(公告)日：2010-12-14
申请号：US11688737
申请日：2007-03-20
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 and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, 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 within a second data space having fewer dimensions than the first data space, performing a univariate analysis to represent the operation of the process as a multivariate projection of the on-line process data by a univariate variable for each of the process variables, where the univariate variable unifies the process variables, and generating a visualization comprising a first plot of a result generated by the multivariate statistical representation of the operation of the process and a second plot of a result generated by the univariate representation of the operation of the process.
摘要翻译： 一种在过程工厂中监测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测值的过程变量，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测值，并且其中所收集的过程数据集合的多个观测值包括具有第一数据空间的第一数据空间， 多个维度，执行多变量统计分析以基于一组收集的在线过程数据来表示所述过程的操作，所述一组收集的在线过程数据包括当所述过程在第二数据空间内在线时所述过程的操作的度量 比第一个数据空间更小的维度，执行单变量分析，以将过程的操作表示为多维度 通过单变量对每个过程变量的单变量投影在线过程数据，其中单变量统一过程变量，以及生成可视化，其包括通过多变量统计表示生成的结果的第一图 该过程和由过程操作的单变量表示产生的结果的第二个图。
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公开(公告)号：US20080082302A1
公开(公告)日：2008-04-03
申请号：US11864529
申请日：2007-09-28
申请人： Nikola Samardzija , Ahmad Hamad
发明人： Nikola Samardzija , Ahmad Hamad
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： Methods and systems to detect abnormal operations in a process of a process plant include collecting on-line process data. The collected on-line process data is generated from a plurality of dependent and independent process variables of the process, such as a coker heater. A plurality of multivariate statistical models of the operation of the process are generated using corresponding sets of the process data. Each model is a measure of the operation of the process when the process is on-line at different times, and at least one model is a measure of the operation of the process when the process is on-line and operating normally. The models are executed to generate outputs corresponding to loading value metrics of a corresponding dependent process variable, and the loading value metrics are utilized to detect abnormal operations of the process.
摘要翻译： 在过程工厂的过程中检测异常操作的方法和系统包括收集在线过程数据。 收集的在线过程数据是从过程的多个依赖和独立的过程变量产生的，例如焦化加热器。 使用对应的过程数据集来生成多个过程的操作的多变量统计模型。 每个模型是过程在不同时间在线进行的过程操作的度量，当过程在线并且正常运行时，至少一个模型是对过程操作的度量。 执行模型以产生对应于相应的依赖过程变量的负载值度量的输出，并且使用负载值度量来检测过程的异常操作。
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公开(公告)号：US20080082194A1
公开(公告)日：2008-04-03
申请号：US11688759
申请日：2007-03-20
申请人： Nikola SAMARDZIJA , John P. Miller
发明人： Nikola SAMARDZIJA , John P. Miller
IPC分类号： G06F19/00
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： A method and system for monitoring a process in a process plant includes collecting data from a process control system within the process plant, where the data is representative of a normal operation of the process when the process is on-line and operating normally, performing a multivariate statistical analysis to represent the normal operation of the process based on a set of collected on-line process data comprising a measure of the normal operation of the process when the process is on-line and operating normally, and representing a real-time on-line operation of the process using monitored on-line process data comprising a measure of a real-time operation of the process when the process is on-line as an input to the representation of the normal operation of the process.
摘要翻译： 用于监视过程工厂中的过程的方法和系统包括从过程工厂内的过程控制系统收集数据，其中数据表示当过程在线并且正常运行时进程的正常操作，执行 多变量统计分析，用于基于一组收集的在线过程数据来表示过程的正常操作，该集合在线过程数据包括当过程在线并且正常操作时过程的正常操作的度量，并且表示实时 使用所监视的在线过程数据的过程的线路操作，包括当过程在线作为对过程的正常操作的表示的输入时的过程的实时操作的测量。
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公开(公告)号：US4853507A
公开(公告)日：1989-08-01
申请号：US187667
申请日：1988-04-28
申请人： Nikola Samardzija
发明人： Nikola Samardzija
CPC分类号： H05B6/802 , C02F1/302 , C02F1/40 , C02F2101/301 , C02F2303/12
摘要： Apparatus for de-emulsification of liquids using microwave energy as radiated into an applicator section of characteristic frequency dimensions consisting of a wave guide section that has a taper applicator element of low dielectric constant material separating the wave guide section into a radiation input void end and a larger volume liquid-filled output end; whereby emulsion under pressure is input to the wave guide section output end adjacent the applicator element to undergo radiation and convection heating and subsequent separation into constituent components.
摘要翻译： 用于使用微波能量对乳液进行乳化的设备，其辐射到特征频率尺寸的施加器部分中，所述特征频率尺寸由波导部分组成，所述波导部分具有将波导部分分成辐射输入空穴端的低介电常数材料的锥形施加器元件， 体积较大的液体输出端; 由此在压力下的乳液被输入到与施加器元件相邻的波导部输出端，以进行辐射和对流加热并随后分离成构成部件。
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公开(公告)号：US20080091390A1
公开(公告)日：2008-04-17
申请号：US11863588
申请日：2007-09-28
申请人： Nikola SAMARDZIJA , Ahmad Hamad
发明人： Nikola SAMARDZIJA , Ahmad Hamad
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： Methods and systems to detect transient operations from abnormal operations, and to detect abnormal operations in a coker heater, include collecting on-line process data. The collected on-line process data is generated from a plurality of process variables of the process, or coker heater. A first representation of the operation of the process, or coker heater, is generated based on a first set of the collected on-line process data generated from a first set of the process variables. The first representation is adapted to be executed to generate a first result. A second representation of the operation of the process, or coker heater, is generated based on the first result and based on a second set of the collected on-line process data generated from a second set of the process variables. The second representation is adapted to be executed to generate a prediction of data generated from the second set of the process variables. The prediction is analyzed to detect an abnormal operation or to detect whether one or more abnormal operations comprises a transient operation of the process.
摘要翻译： 用于检测异常操作的瞬态操作以及检测焦化加热器异常操作的方法和系统包括收集在线过程数据。 收集的在线过程数据是从过程或焦化加热器的多个过程变量产生的。 基于从第一组过程变量产生的收集的在线过程数据的第一组生成过程操作或焦化加热器的第一表示。 第一表示适于执行以产生第一结果。 基于第一结果并基于从第二组过程变量生成的收集的在线过程数据的第二组生成过程操作或焦化加热器的第二表示。 第二表示适于执行以产生从第二组过程变量生成的数据的预测。 分析预测以检测异常操作或检测一个或多个异常操作是否包括该过程的暂时操作。
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公开(公告)号：US20080082195A1
公开(公告)日：2008-04-03
申请号：US11688772
申请日：2007-03-20
申请人： Nikola SAMARDZIJA
发明人： Nikola SAMARDZIJA
CPC分类号： G05B23/0245 , G05B23/021 , G05B23/024 , Y10S715/965
摘要： A method and system of monitoring multivariate process data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes defining each process variable as a process variable vector comprising a set of observation components, where the set of observation components comprises time dependent process data corresponding to the observations of the process variable, calculation, a multivariable transformation as a function of a plurality of process variable vector transformation each corresponding to one of the process variables, where each process variable vector transformation is a function of a univariate variable unifying the process variables, and representing the operation of the process based on the multivariable transformation, where the representation of the operation of the process designates a multivariate projection of the process data by the univariate variable for each of the process variables.
摘要翻译： 一种在过程工厂中监视多变量过程数据的方法和系统，其中所述多变量过程数据包括多个具有多个观察值的过程变量，包括将每个过程变量定义为包括一组观测组件的过程变量向量，其中 观察组件组包括与过程变量的观察值相对应的时间相关过程数据，计算多变量变换作为多个过程变量向量变换的函数，每个过程变量向量变换各自对应于一个过程变量，其中每个过程变量向量变换 是单变量统计过程变量的函数，并且表示基于多变量变换的过程的操作，其中过程的操作的表示指定过程数据的多变量投影单个变量 过程变量 s。
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