-
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
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：WO9926073A8
公开(公告)日：1999-08-12
申请号：PCT/US9823166
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： GROSS KENNETH C , WEGERICH STEPHAN , CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D
CPC classification number: G01R23/16
Abstract: The invention is a method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a learned states (40), a frequency domain transformation carried out for the system signal and reference signal, and a frequency domain difference function is established. The process is then repeated until a full range of data is accumulated over the time domain and an SPRT methodology (50) is applied to determine a three-dimensional surface plot (60) characteristic of the operating state of the system under surveillance.
Abstract translation: 本发明是用于监视系统，过程和数据源中的至少一个的方法和系统。 已经开发了用于对正在进行的过程或其他数据源（例如光谱检查）进行监视，测试和修改的方法和系统。 收集来自被监视系统的信号，并与学习状态（40）进行比较，建立了对系统信号和参考信号进行的频域变换，并建立了频域差分函数。 然后重复该过程，直到在时域上累积完整的数据范围，并且应用SPRT方法（50）来确定监视系统的操作状态特征的三维表面图（60）。
-
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
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：EP1031039A4
公开(公告)日：2000-12-20
申请号：EP98956419
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： GROSS KENNETH C , WEGERICH STEPHAN , CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D
CPC classification number: G01R23/16
Abstract: The invention is a method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance (10) is collected and compared with a reference signal (20), a frequency domain transformation carried out for the system signal and reference signal, and a frequency domain difference function is established. The process is then repeated until a full range of data is accumulated over the time domain and a SPRT methodology (50) is applied to determine a three-dimensional surface plot (60) characteristic of the operating state of the system under surveillance.
Abstract translation: 本发明是用于监视系统，过程和数据源中的至少一个的方法和系统。 已经开发了用于执行对正在进行的过程或诸如光谱检查等其他数据源的监视，测试和修改的方法和系统。 收集来自受监视系统（10）的信号并将其与参考信号（20）进行比较，对系统信号和参考信号执行频域变换，并建立频域差分函数。 然后重复该过程，直到在整个时间范围内累积全部范围的数据并且应用SPRT方法（50）来确定受监视的系统的操作状态的三维表面图（60）特征。
-
公开(公告)号：AU1294699A
公开(公告)日：1999-06-07
申请号：AU1294699
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： GROSS KENNETH C , WEGERICH STEPHAN , CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D
Abstract: A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test ("SPRT") methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
-
Patent Agency Ranking
公开(公告)号：CA2309271C
公开(公告)日：2006-07-11
申请号：CA2309271
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D , GROSS KENNETH C , WEGERICH STEPHAN
Abstract: The invention is a method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a learned states (40), a frequency domain transformation carried out for the system signal and reference signal, and a frequency domain difference function is established. The process is then repeated until a full range of data is accumulated over the time domain and an SPRT methodology (50) is applied to determine a three-dimensional surface plot (60) characteristic of the operating state of the system under surveillance.
-
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
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：AU745828B2
公开(公告)日：2002-04-11
申请号：AU1294699
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： GROSS KENNETH C , WEGERICH STEPHAN , CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D
Abstract: A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test ("SPRT") methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
-
公开(公告)号：CA2309271A1
公开(公告)日：1999-05-27
申请号：CA2309271
申请日：1998-10-30
Applicant: ARCH DEV CORP
Inventor： WEGERICH STEPHAN , GROSS KENNETH C , CRISS-PUSZKIEWICZ CYNTHIA , WILKS ALAN D
Abstract: The invention is a method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a learned states (40), a frequency domain transformation carried out for the system signal and reference signal, and a frequency domain difference function is established. The process is then repeated until a full range of data is accumulated over the time domain and an SPRT methodology (50) is applied to determine a threedimensional surface plot (60) characteristic of the operating state of the system under surveillance.
-
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
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.
-
-
-
-
-
-
-
-
-
Search Results
14
records
(took 0.021 seconds)
