INDUSTRIAL PROCESS SURVEILLANCE SYSTEM
    1.
    发明申请
    INDUSTRIAL PROCESS SURVEILLANCE SYSTEM 审中-公开
    工业过程监控系统

    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

    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)。

    SELF-TUNING SYSTEM FOR INDUSTRIAL SURVEILLANCE
    2.
    发明申请
    SELF-TUNING SYSTEM FOR INDUSTRIAL SURVEILLANCE 审中-公开
    自动调谐系统用于工业监控

    公开(公告)号:WO9905685A8

    公开(公告)日:1999-03-25

    申请号:PCT/US9815280

    申请日:1998-07-23

    Applicant: ARCH DEV CORP

    CPC classification number: G05B23/0221 G05B23/0254

    Abstract: A method and system for automatically establishing operational parameters of a statistical surveillance system. The method and system performs a frequency domain transition (20) on time dependent data, first Fourier composite (30) is formed, serial correlation (35) is removed, a series of Gaussian whiteness tests (50) are performed along with an autocorrelation (35) test, Fourier coefficients (80) are stored and a second Fourier composite is formed. Pseudorandom noise is added, a Monte Carlo simulation is performed to establish SPRT missed alarm probabilities and tested with a synthesized signal. A false alarm test is then empirically evaluated and if less than a desired target value, then SPRT probabilities are used for performing surveillance.

    Abstract translation: 自动建立统计监视系统运行参数的方法和系统。 该方法和系统对时间相关数据执行频域转换(20),形成第一傅里叶复合(30),去除串行相关(35),执行一系列高斯白度测试(50)以及自相关 35)测试,存储傅里叶系数(80)并形成第二傅里叶复合物。 添加伪随机噪声,执行蒙特卡洛模拟以建立SPRT漏检概率并用合成信号进行测试。 然后通过实验评估虚警测试,如果测试结果低于预期目标值,则使用SPRT概率进行监测。

    NEURO-PARITY PATTERN RECOGNITION SYSTEM AND METHOD
    3.
    发明申请
    NEURO-PARITY PATTERN RECOGNITION SYSTEM AND METHOD 审中-公开
    神经元特征模式识别系统及方法

    公开(公告)号:WO9964962A9

    公开(公告)日:2000-03-23

    申请号:PCT/US9913054

    申请日:1999-06-09

    Applicant: ARCH DEV CORP

    CPC classification number: G21D3/04 Y02E30/40

    Abstract: A method and system for monitoring a process and determining its condition. Initial data is sensed, a first set of virtual data is produced by applying a system state (20) analyzation to the initial data, a second set of virtual data is produced by applying a neural network (40) analyzation to the initial data and a parity space (50) analyzation is applied to the first and second set of virtual data and also to the initial data to provide a parity space (50) decision about the condition of the process. A logic test (60) can further be applied to produce a further system decision about the state of the process.

    Abstract translation: 一种用于监控过程并确定其状况的方法和系统。 感测初始数据,通过对初始数据应用系统状态(20)分析来产生第一组虚拟数据,通过对初始数据应用神经网络(40)分析产生第二组虚拟数据,并且 将奇偶校验空间(50)分析应用于第一和第二组虚拟数据以及初始数据,以提供关于处理条件的奇偶校验空间(50)决定。 可以进一步应用逻辑测试(60)来产生关于过程状态的进一步的系统决策。

    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS
    4.
    发明申请
    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS 审中-公开
    光谱信号监测系统

    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

    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)。

    SYSTEM FOR MONITORING AN INDUSTRIAL PROCESS AND DETERMINING SENSOR STATUS
    5.
    发明公开
    SYSTEM FOR MONITORING AN INDUSTRIAL PROCESS AND DETERMINING SENSOR STATUS 失效
    监测系统的传感器态的一种工业法确定

    公开(公告)号:EP0746855A4

    公开(公告)日:1997-06-04

    申请号:EP94918170

    申请日:1994-05-27

    Applicant: ARCH DEV CORP

    CPC classification number: G21C17/00 G05B9/03 Y10S706/914

    Abstract: A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analysed by a statistical probability ratio test.

    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS
    6.
    发明公开
    SYSTEM FOR SURVEILLANCE OF SPECTRAL SIGNALS 审中-公开
    ÜBERWACHTUNGSSYSTEMVON SPEKTROL-SIGNALEN

    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

    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。

    ULTRASENSITIVE SURVEILLANCE OF SENSORS AND PROCESSES
    7.
    发明公开
    ULTRASENSITIVE SURVEILLANCE OF SENSORS AND PROCESSES 有权
    超灵敏监测传感器和进程

    公开(公告)号:EP1055239A4

    公开(公告)日:2002-06-19

    申请号:EP99903131

    申请日:1999-01-14

    Applicant: ARCH DEV CORP

    CPC classification number: G21D3/001 G21C17/00 Y02E30/40

    Abstract: A method and apparatus for monitoring a source of data for determining an operating state of a working system. The method includes determining a sensor (or source of data) arrangement associated with monitoring the source of data for a system, activating a method for performing a sequential probability ratio test if the data source includes a single data (sensor) source, activating a second method for performing a regression sequential possibility ratio testing procedure if the arrangement includes a pair of sensors (data sources) with signals which are linearly of non-linearly related; activating a third method for performing a bounded angle ratio test procedure if the sensor arrangement includes multiple sensors and utilizing at least one of the first, second and third methods to accumulate sensor signals and determining the operating state of the system.

    INDUSTRIAL PROCESS SURVEILLANCE SYSTEM
    8.
    发明公开
    INDUSTRIAL PROCESS SURVEILLANCE SYSTEM 失效
    ÜBERWACHUNGSSYSTEMFÜRINDUSTRIELLE ANLAGE

    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

    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)。

    AN EXPERT SYSTEM FOR TESTING INDUSTRIAL PROCESSES AND DETERMINING SENSOR STATUS
    9.
    发明公开
    AN EXPERT SYSTEM FOR TESTING INDUSTRIAL PROCESSES AND DETERMINING SENSOR STATUS 失效
    用于测试工业过程和传感器专家系统用于确定状态

    公开(公告)号:EP0855061A4

    公开(公告)日:1999-01-13

    申请号:EP96936263

    申请日:1996-10-08

    Applicant: ARCH DEV CORP

    Abstract: A method and system (110) for monitoring both an industrial process and a sensor (104). The method and system include determining a minimum number of sensor pairs needed to test the industrial process as well as the sensor (104) for evaluating the state of operation of both. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the pair of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.

    Ultrasensitive surveillance of sensors and processes

    公开(公告)号:AU748987B2

    公开(公告)日:2002-06-13

    申请号:AU2322599

    申请日:1999-01-14

    Applicant: ARCH DEV CORP

    Abstract: A method and apparatus for monitoring a source of data for determining an operating state of a working system. The method includes determining a sensor (or source of data) arrangement associated with monitoring the source of data for a system, activating a method for performing a sequential probability ratio test if the data source includes a single data (sensor) source, activating a second method for performing a regression sequential possibility ratio testing procedure if the arrangement includes a pair of sensors (data sources) with signals which are linearly or non-linearly related; activating a third method for performing a bounded angle ratio test procedure if the sensor arrangement includes multiple sensors and utilizing at least one of the first, second and third methods to accumulate sensor signals and determining the operating state of the system.

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