公开(公告)号：CA2523052A1

公开(公告)日：2004-11-25

申请号：CA2523052

申请日：2004-05-07

Applicant: ABB INC

Inventor： TRAN PETER QUANG ,  STARR KEVIN DALE ,  MAST TIMOTHY ANDREW

IPC: D21G9/00

Abstract: A web making machine (108) is monitored to identify at least one cross-machi ne direction (CD) actuator (126) that is developing local mapping problems. The identified CD actuator and a segment of surrounding actuators are probed to determine a performance curve (227) for the actuator. The center of an insensitivity region of the performance curve is selected as an optimal mapping alignment setting for the identified actuator with the setting for t he actuator being updated. Global smoothing may also be accomplished by probing a global smoothness factor to generate a corresponding performance curve that is then similarly used to select an optimal value for the smoothness factor.

公开(公告)号：AU2012209207B2

公开(公告)日：2016-03-31

申请号：AU2012209207

申请日：2012-01-24

Applicant: ABB INC

Inventor： STARR KEVIN DALE ,  MAST TIMOTHY ANDREW ,  GARVERICK ROBERT TRENT

IPC: G05B23/02

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for predefined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

公开(公告)号：DE112012000548T5

公开(公告)日：2013-11-21

申请号：DE112012000548

申请日：2012-01-24

Applicant: ABB INC

Inventor： GARVERICK ROBERT TRENT ,  MAST TIMOTHY ANDREW ,  STARR KEVIN DALE

IPC: G05B23/02

Abstract: Ein Verfahren wird bereitgestellt zum Analysieren und Diagnostizieren eines Großprozessautomatisierungs-Regelsystems mit einer Vielzahl von Regelschleifen. Bewertungen für vordefinierte Leistungskennzahlen (KPIs) werden automatisch für Regelungs-, Prozess- und Signalabschnitte jeder Regelschleife erzeugt. Die automatisch erzeugten Bewertungen der vordefinierten KPIs können in einer graphischen Benutzerschnittstelle (GUI) eines Computers angezeigt werden. Ein Benutzer kann die automatisch erzeugten Bewertungen der vordefinierten KPIs ändern. Unterschiedliche Datenansichten können auch in der GUI angezeigt werden. Die Datenansichten enthalten Zeitreihentrends für eine gemessene Prozessvariable, eine Conrollerausgabe, einen Controllersollwert und einen Fehler, als auch Controllerparameter-Gruppierungsansichten in zweidimensionalen und dreidimensionalen Diagrammen.

公开(公告)号：WO2012103125A9

公开(公告)日：2012-12-06

申请号：PCT/US2012022410

申请日：2012-01-24

Applicant: ABB INC ,  STARR KEVIN DALE ,  MAST TIMOTHY ANDREW ,  GARVERICK ROBERT TRENT

Inventor： STARR KEVIN DALE ,  MAST TIMOTHY ANDREW ,  GARVERICK ROBERT TRENT

IPC: G05B23/02

CPC classification number: G05B23/0216

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for predefined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

Abstract translation: 提供了一种用于分析和诊断具有多个控制回路的大规模过程自动化控制系统的方法。 针对每个控制回路的控制，过程和信号部分自动生成预定义关键性能指标（KPI）的评估。 自动生成的预定义KPI的评估可以显示在计算机的图形用户界面（GUI）中。 用户可以更改自动生成的预定义KPI评估。 GUI中还可以显示不同的数据视图。 数据视图包括测量的过程变量，控制器输出，控制器设定点和误差的时间序列趋势，以及二维和三维图中的控制器参数聚类视图。

公开(公告)号：WO2004101886A3

公开(公告)日：2005-02-24

申请号：PCT/US2004014213

申请日：2004-05-07

Applicant: ABB INC

Inventor： TRAN PETER QUANG ,  STARR KEVIN DALE ,  MAST TIMOTHY ANDREW

IPC: D21G9/00

CPC classification number: D21G9/0027

Abstract: A web making machine (108) is monitored to identify at least one cross-machine direction (CD) actuator (126) that is developing local mapping problems. The identified CD actuator and a segment of surrounding actuators are probed to determine a performance curve (227) for the actuator. The center of an insensitivity region of the performance curve is selected as an optimal mapping alignment setting for the identified actuator with the setting for the actuator being updated. Global smoothing may also be accomplished by probing a global smoothness factor to generate a corresponding performance curve that is then similarly used to select an optimal value for the smoothness factor.

Abstract translation: 监控制纸机（108）以识别正在开发局部映射问题的至少一个跨机器方向（CD）致动器（126）。 探测到的CD致动器和周围致动器的一段被探测以确定执行器的性能曲线（227）。 选择性能曲线的不敏感区域的中心作为所识别的致动器的最佳映射对准设置，其中执行器的设置被更新。 全局平滑也可以通过探测全局平滑因子来产生相应的性能曲线，然后类似地用于选择平滑系数的最优值。

公开(公告)号：GB2502209A

公开(公告)日：2013-11-20

申请号：GB201312503

申请日：2012-01-24

Applicant: ABB INC

Inventor： STARR KEVIN DALE ,  MAST TIMOTHY ANDREW ,  GARVERICK ROBERT TRENT

IPC: G05B23/02

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for predefined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

公开(公告)号：AU2012209207A1

公开(公告)日：2013-08-01

申请号：AU2012209207

申请日：2012-01-24

Applicant: ABB INC

Inventor： STARR KEVIN DALE ,  MAST TIMOTHY ANDREW ,  GARVERICK ROBERT TRENT

IPC: G05B23/02

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for predefined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

公开(公告)号：CA2523052C

公开(公告)日：2011-08-09

申请号：CA2523052

申请日：2004-05-07

Applicant: ABB INC

Inventor： TRAN PETER QUANG ,  STARR KEVIN DALE ,  MAST TIMOTHY ANDREW

IPC: D21G9/00

Abstract: A web making machine (108) is monitored to identify at least one cross-machine direction (CD) actuator (126) that is developing local mapping problems. The identified CD actuator and a segment of surrounding actuators are probed to determine a performance curve (227) for the actuator. The center of an insensitivity region of the performance curve is selected as an optimal mapping alignment setting for the identified actuator with the setting for the actuator being updated. Global smoothing may also be accomplished by probing a global smoothness factor to generate a corresponding performance curve that is then similarly used to select an optimal value for the smoothness factor.