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    • 1. 发明申请
    • APPARATUS AND METHOD FOR MONITORING AN INDUSTRIAL PROCESS
    • 监测工业过程的装置和方法
    • US20100286969A1
    • 2010-11-11
    • US12693830
    • 2010-01-26
    • Sankar SelvarajJoseph Ching Hua LeeSreenivas Yelneedi
    • Sankar SelvarajJoseph Ching Hua LeeSreenivas Yelneedi
    • G06G7/66G06F17/18
    • G05B23/021G05B23/024
    • An apparatus for monitoring an industrial process comprising a plurality of variables. The apparatus comprises a defining module configured for defining a normal-condition data set may comprise data values of the variables when the industrial process is operating under a normal condition and for defining an abnormal-condition data set may comprise data values of the variables when the industrial process is operating under an abnormal condition; a modelling module configured for modelling a normal-condition model from the normal-condition data set and modelling an abnormal-condition model from the abnormal-condition data set; a plotting module configured for plotting a normal-condition plot from the normal-condition model and plotting an abnormal-condition plot from the abnormal-condition model; and an analysis module configured for analysing live data values of the variables for simultaneous display with the normal-condition plot and the abnormal-condition plot.
    • 一种用于监测包括多个变量的工业过程的装置。 该装置包括被配置用于定义正常状态数据集的定义模块可以包括当工业过程在正常条件下操作时的变量的数据值,并且用于定义异常状态数据集可以包括变量的数据值,当 工业过程正在异常运行; 建模模块,其被配置为从正常状态数据集建模正常状态模型,并从异常状态数据集建模异常状态模型; 绘制模块,被配置为绘制来自正常状态模型的正常状况图,并绘制来自异常状况模型的异常状况图; 以及分析模块,被配置为分析用于与正常状况图和异常状况图同时显示的变量的实时数据值。
    • 3. 发明授权
    • Apparatus and method for monitoring an industrial process
    • 用于监测工业过程的装置和方法
    • US08224473B2
    • 2012-07-17
    • US12693830
    • 2010-01-26
    • Sankar SelvarajJoseph Ching Hua LeeSreenivas Yelneedi
    • Sankar SelvarajJoseph Ching Hua LeeSreenivas Yelneedi
    • G06F11/30
    • G05B23/021G05B23/024
    • An apparatus for monitoring an industrial process comprising a plurality of variables. The apparatus comprises a defining module configured for defining a normal-condition data set may comprise data values of the variables when the industrial process is operating under a normal condition and for defining an abnormal-condition data set may comprise data values of the variables when the industrial process is operating under an abnormal condition; a modelling module configured for modelling a normal-condition model from the normal-condition data set and modelling an abnormal-condition model from the abnormal-condition data set; a plotting module configured for plotting a normal-condition plot from the normal-condition model and plotting an abnormal-condition plot from the abnormal-condition model; and an analysis module configured for analysing live data values of the variables for simultaneous display with the normal-condition plot and the abnormal-condition plot.
    • 一种用于监测包括多个变量的工业过程的装置。 该装置包括被配置用于定义正常状态数据集的定义模块可以包括当工业过程在正常条件下操作时的变量的数据值,并且用于定义异常状态数据集可以包括变量的数据值,当 工业过程正在异常运行; 建模模块,其被配置为从正常状态数据集建模正常状态模型,并从异常状态数据集建模异常状态模型; 绘制模块,被配置为绘制来自正常状态模型的正常状况图,并绘制来自异常状况模型的异常状况图; 以及分析模块,被配置为分析用于与正常状况图和异常状况图同时显示的变量的实时数据值。
    • 4. 发明授权
    • Method and apparatus for qualifying performance of a conventional control valve
    • 用于限定常规控制阀的性能的方法和装置
    • US09429938B2
    • 2016-08-30
    • US13250172
    • 2011-09-30
    • Sankar SelvarajLakshmi Kiran KanchiChing Hua Joseph Lee
    • Sankar SelvarajLakshmi Kiran KanchiChing Hua Joseph Lee
    • G06F15/00G05B23/02G05B19/042
    • G05B23/0235G05B19/0428
    • A method of qualifying performance of a conventional control valve in a process plant, the valve being controlled by a controller, the method comprising a processor obtaining data samples from a database stored on a server of the process plant, each data sample comprising a process variable, a set-point, and a manipulated variable; the processor computing a non-linearity index from the data samples and determining if the non-linearity index is greater than a threshold value; if the non-linearity index is greater than the threshold value, the processor charting a plot of the process variable against the manipulated variable and determining if the plot has an elliptical or rectangular fit; and if the plot has an elliptical fit, the processor determining if a percentage of the total number of data samples lying within a theoretical ellipse encompassed within the elliptical fit is less than or equal to a preset percentage.
    • 一种限制过程工厂中常规控制阀的性能的方法,所述阀由控制器控制,所述方法包括处理器,其从存储在所述过程工厂的服务器上的数据库获取数据样本,每个数据样本包括过程变量 ,设定点和操纵变量; 所述处理器从所述数据样本计算非线性指数并确定所述非线性指数是否大于阈值; 如果非线性指数大于阈值,则处理器绘制过程变量与调节变量的曲线,并确定曲线图是否具有椭圆或矩形拟合; 并且如果绘图具有椭圆拟合,则处理器确定位于椭圆拟合内的理论椭圆内的数据样本的总数的百分比是否小于或等于预设百分比。
    • 5. 发明申请
    • METHOD AND APPARATUS FOR QUALIFYING PERFORMANCE OF A CONVENTIONAL CONTROL VALVE
    • 评估传统控制阀性能的方法和装置
    • US20130085717A1
    • 2013-04-04
    • US13250172
    • 2011-09-30
    • Sankar SelvarajLakshmi Kiran KanchiJoseph Ching Hua Lee
    • Sankar SelvarajLakshmi Kiran KanchiJoseph Ching Hua Lee
    • G06F15/00
    • G05B23/0235G05B19/0428
    • A method of qualifying performance of a conventional control valve in a process plant, the valve being controlled by a controller, the method comprising a processor obtaining data samples from a database stored on a server of the process plant, each data sample comprising a process variable, a set-point, and a manipulated variable; the processor computing a non-linearity index from the data samples and determining if the non-linearity index is greater than a threshold value; if the non-linearity index is greater than the threshold value, the processor charting a plot of the process variable against the manipulated variable and determining if the plot has an elliptical or rectangular fit; and if the plot has an elliptical fit, the processor determining if a percentage of the total number of data samples lying within a theoretical ellipse encompassed within the elliptical fit is less than or equal to a preset percentage.
    • 一种限制过程工厂中常规控制阀的性能的方法,所述阀由控制器控制,所述方法包括处理器,其从存储在所述过程工厂的服务器上的数据库获取数据样本,每个数据样本包括过程变量 ,设定点和操纵变量; 所述处理器从所述数据样本计算非线性指数并确定所述非线性指数是否大于阈值; 如果非线性指数大于阈值,则处理器绘制过程变量与调节变量的曲线,并确定曲线图是否具有椭圆或矩形拟合; 并且如果绘图具有椭圆拟合,则处理器确定位于椭圆拟合内的理论椭圆内的数据样本的总数的百分比是否小于或等于预设百分比。