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公开(公告)号：US06202038B1
公开(公告)日：2001-03-13
申请号：US09373326
申请日：1999-08-12
IPC分类号： G21C700
摘要： 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.
摘要翻译： 一种用于监视用于确定工作系统的操作状态的数据源的方法和装置。 该方法包括确定与监视系统的数据源相关联的传感器（或数据源）布置，如果数据源包括单个数据（传感器）源，激活用于执行顺序概率比测试的方法，激活第二个 如果所述装置包括具有线性或非线性相关信号的一对传感器（数据源），则执行回归顺序可能比测试程序的方法; 如果所述传感器装置包括多个传感器并利用所述第一，第二和第三方法中的至少一个来累积传感器信号并确定所述系统的操作状态，则激活用于执行有界角度比测试程序的第三种方法。
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公开(公告)号：US5987399A
公开(公告)日：1999-11-16
申请号：US006713
申请日：1998-01-14
摘要： 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.
摘要翻译： 一种用于监视用于确定工作系统的操作状态的数据源的方法和装置。 该方法包括确定与监视系统的数据源相关联的传感器（或数据源）布置，如果数据源包括单个数据（传感器）源，激活用于执行顺序概率比测试的方法，激活第二个 如果所述装置包括具有线性或非线性相关信号的一对传感器（数据源），则执行回归顺序可能比测试程序的方法; 如果所述传感器装置包括多个传感器并利用所述第一，第二和第三方法中的至少一个来累积传感器信号并确定所述系统的操作状态，则激活用于执行有界角度比测试程序的第三种方法。
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公开(公告)号：US06131076A
公开(公告)日：2000-10-10
申请号：US900545
申请日：1997-07-25
CPC分类号： G05B23/0221 , G05B23/0254
摘要： A method and system for automatically establishing operational parameters of a statistical surveillance system. The method and system performs a frequency domain transition on time dependent data, a first Fourier composite is formed, serial correlation is removed, a series of Gaussian whiteness tests are performed along with an autocorrelation test, Fourier coefficients 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 emperically evaluated and if less than a desired target value, then SPRT probabilities are used for performing surveillance.
摘要翻译： 一种自动建立统计监控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进行频域转换，形成第一傅立叶复合体，去除串行相关，并进行一系列高斯白度测试以及自相关测试，存储傅立叶系数，第二傅里叶组合为 形成。 添加伪随机噪声，执行蒙特卡罗模拟以建立SPRT漏报报警概率，并用合成信号进行测试。 然后仿真评估一个虚假警报测试，如果小于所需的目标值，则使用SPRT概率进行监视。
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公开(公告)号：US06240372B1
公开(公告)日：2001-05-29
申请号：US08970873
申请日：1997-11-14
IPC分类号： G06F700
CPC分类号： G01R23/16
摘要： 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 SPRT sequential probability ratio test methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.
摘要翻译： 一种用于监视系统，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，并与参考信号进行比较，对系统信号和参考信号进行频域变换，建立频域差分函数。 然后重复该过程，直到在时域上累积全部数据范围，并且应用SPRT顺序概率比测试方法来确定被监视系统的操作状态的三维表面特征。
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公开(公告)号：US6119111A
公开(公告)日：2000-09-12
申请号：US94413
申请日：1998-06-09
摘要： 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 analyzation to the initial data, a second set of virtual data is produced by applying a neural network analyzation to the initial data and a parity space analyzation is applied to the first and second set of virtual data and also to the initial data to provide a parity space decision about the condition of the process. A logic test can further be applied to produce a further system decision about the state of the process.
摘要翻译： 一种用于监测过程并确定其状况的方法和系统。 检测初始数据，通过对初始数据应用系统状态分析产生第一组虚拟数据，通过对初始数据应用神经网络分析产生第二组虚拟数据，并将奇偶校验空间分析应用于 第一和第二组虚拟数据，以及初始数据，以提供关于过程条件的奇偶校验空间决定。 可以进一步应用逻辑测试来产生关于过程状态的进一步的系统决策。
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公开(公告)号：US06804628B2
公开(公告)日：2004-10-12
申请号：US10155155
申请日：2002-05-28
IPC分类号： G06F700
CPC分类号： G01R23/16
摘要： 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.
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公开(公告)号：US5764509A
公开(公告)日：1998-06-09
申请号：US666938
申请日：1996-06-19
CPC分类号： G05B23/0254 , G05B23/0262
摘要： 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.
摘要翻译： 一种用于监测工业过程和/或工业数据源的系统和方法。 该系统包括从工业数据源生成时变数据，处理数据以获得数据的时间相关性，确定数据范围，确定正常操作的学习状态并使用这些状态来产生期望值，将预期值与当前值进行比较 实际值来识别当前状态的最接近学习的正常状态; 生成一组建模数据，并处理建模数据以识别数据模式，并在检测到与正常偏差之间产生报警。
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公开(公告)号：US5745382A
公开(公告)日：1998-04-28
申请号：US521892
申请日：1995-08-31
CPC分类号： G06K9/00536 , G05B23/024 , G06N3/08 , G21D3/001 , G21Y2002/202 , G21Y2004/403 , Y02E30/40 , Y10S706/904 , Y10S706/906
摘要： A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.
摘要翻译： 一种用于对工业设备的瞬态信号进行监视以确定操作状态的方法和系统。 该方法和系统包括读取存储器训练数据，确定神经网络加权值直到达到靠近神经网络输出的目标输出的步骤。 如果目标输出不足，则确定小波参数以产生接近期望的目标输出集合的神经网络输出，然后提供工业过程的特征信号，并将神经网络输出与工业过程信号进行比较，以评估目标输出的运行状态 工业过程。
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公开(公告)号：US06999899B2
公开(公告)日：2006-02-14
申请号：US10771168
申请日：2004-02-02
IPC分类号： G06F7/00
CPC分类号： G01R23/16
摘要： 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.
摘要翻译： 一种用于监视系统，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，并与参考信号进行比较，对系统信号和参考信号进行频域变换，建立频域差分函数。 然后重复该过程，直到在时域上累积完整的数据范围，并且应用连续概率比测试（“SPRT”）方法来确定在监视下的系统的操作状态的三维曲面图特性。
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公开(公告)号：US06181975B2
公开(公告)日：2001-01-30
申请号：US09028443
申请日：1998-02-24
IPC分类号： G05B1302
CPC分类号： G05B23/0254 , G05B23/0262
摘要： 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.
摘要翻译： 一种用于监测工业过程和/或工业数据源的系统和方法。 该系统包括从工业数据源生成时变数据，处理数据以获得数据的时间相关性，确定数据范围，确定正常操作的学习状态并使用这些状态来产生期望值，将预期值与当前值进行比较 实际值来识别当前状态的最接近学习的正常状态; 生成一组建模数据，并处理建模数据以识别数据模式，并在检测到与正常偏差之间产生报警。
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