公开(公告)号：WO9749011A9

公开(公告)日：1999-04-15

申请号：PCT/US9710430

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS KENNETH C ,  WEGERICH STEPHAN ,  SINGER RALPH M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

CPC classification number: G05B23/0254 ,  G05B23/0262

Abstract: A system (10) and method for monitoring an industrial process and/or industrial data source (10). The system (10) includes a time correlation module (20), a training module (30), a system state estimation module (40) and a pattern recognition module (50). The system (10) generating time varying data sources, processing the data to obtain time correlation of the data (20), determining the range of data, determining learned states of normal operation (30) and using these states to generate expected values to identify a current state of the process closest to a learned, normal state (40); generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm (50) upon detecting a deviation from normalcy.

Abstract translation: 一种用于监测工业过程和/或工业数据源（10）的系统（10）和方法。 系统（10）包括时间相关模块（20），训练模块（30），系统状态估计模块（40）和模式识别模块（50）。 所述系统（10）产生时变数据源，处理数据以获得数据（20）的时间相关性，确定数据范围，确定正常操作的学习状态（30）并使用这些状态来产生期望值以识别 该过程的当前状态最接近学习的正常状态（40）; 生成一组建模数据，并且在检测到与正常偏差之后处理建模数据以识别数据模式并产生报警（50）。

公开(公告)号：EP0906593A4

公开(公告)日：1999-09-15

申请号：EP97930046

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS KENNETH C ,  WEGERICH STEPHAN ,  SINGER RALPH M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

CPC classification number: G05B23/0254 ,  G05B23/0262

Abstract: A system (10) and method for monitoring an industrial process and/or industrial data source (10). The system (10) includes a time correlation module (20), a training module (30), a system state estimation module (40) and a pattern recognition module (50). The system (10) generating time varying data sources, processing the data to obtain time correlation of the data (20), determining the range of data, determining learned states of normal operation (30) and using these states to generate expected values to identify a current state of the process closest to a learned, normal state (40); generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm (50) upon detecting a deviation from normalcy.

Abstract translation: 一种用于监视工业过程和/或工业数据源（10）的系统（10）和方法。 系统（10）包括时间相关模块（20），训练模块（30），系统状态估计模块（40）和模式识别模块（50）。 系统（10）生成随时间变化的数据源，处理数据以获得数据（20）的时间相关性，确定数据范围，确定正常操作（30）的学习状态并使用这些状态来生成期望值以识别 该过程的当前状态最接近学习的正常状态（40）; 生成一组建模数据，并处理该建模数据以识别数据模式，并在检测到与正常偏差时生成警报（50）。

公开(公告)号：DE69723839D1

公开(公告)日：2003-09-04

申请号：DE69723839

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS C ,  WEGERICH STEPHAN ,  SINGER M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

公开(公告)号：ES2205244T3

公开(公告)日：2004-05-01

申请号：ES97930046

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS KENNETH C ,  WEGERICH STEPHAN ,  SINGER RALPH M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

公开(公告)号：DE69723839T2

公开(公告)日：2004-04-22

申请号：DE69723839

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS C ,  WEGERICH STEPHAN ,  SINGER M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

公开(公告)号：CA2257881C

公开(公告)日：2004-02-10

申请号：CA2257881

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： SINGER RALPH M ,  MOTT JACK ,  WEGERICH STEPHAN ,  GROSS KENNETH C

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system (10) and method for monitoring an industrial process and/or industrial data source (10). The system (10) includes a time correlation module (20), a training module (30), a system state estimation module (40) and a pattern recognition module (50). The system (10) generating time varying data sources, processing the data to obtain time correlation of the data (20), determining the range of data, determining learned states of normal operation (30) and using these states to generate expected values to identify a current state of the process closest to a learned, normal state (40); generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm (50) upon detecting a deviation from normalcy.

公开(公告)号：AU3396797A

公开(公告)日：1998-01-07

申请号：AU3396797

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： GROSS KENNETH C ,  WEGERICH STEPHAN ,  SINGER RALPH M ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

公开(公告)号：CA2257881A1

公开(公告)日：1997-12-24

申请号：CA2257881

申请日：1997-06-13

Applicant: ARCH DEV CORP

Inventor： SINGER RALPH M ,  WEGERICH STEPHAN ,  GROSS KENNETH C ,  MOTT JACK

IPC: G05B13/02 ,  G05B9/02 ,  G05B13/04 ,  G05B23/02

Abstract: A system (10) and method for monitoring an industrial process and/or industrial data source (10). The system (10) includes a time correlation module (20), a training module (30), a system state estimation module (40) and a pattern recognition module (50). The system (10) generating time varying data sources, processing the data to obtain time correlation of the data (20), determining the range of data, determining learned states of normal operation (30) and using these states to generate expected values to identify a current state of the process closest to a learned, normal state (40); generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm (50) upon detecting a deviation from normalcy.