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公开(公告)号：US6107919A
公开(公告)日：2000-08-22
申请号：US256884
申请日：1999-02-24
CPC分类号： G08B29/22
摘要： A method and system for analyzing a source of data. The system and method involves initially training a system using a selected data signal, calculating at least two levels of sensitivity using a pattern recognition methodology, activating a first mode of alarm sensitivity to monitor the data source, activating a second mode of alarm sensitivity to monitor the data source and generating a first alarm signal upon the first mode of sensitivity detecting an alarm condition and a second alarm signal upon the second mode of sensitivity detecting an associated alarm condition. The first alarm condition and second alarm condition can be acted upon by an operator and/or analyzed by a specialist or computer program.
摘要翻译： 用于分析数据源的方法和系统。 该系统和方法包括最初使用所选择的数据信号训练系统，使用模式识别方法计算至少两个灵敏度级别，激活第一模式的报警灵敏度以监视数据源，激活监视器的第二模式的报警灵敏度 所述数据源并且在所述灵敏度的第一灵敏度检测报警条件时产生第一报警信号，并且在所述第二灵敏度检测相关联的报警条件时产生第二报警信号。 第一个报警条件和第二个报警条件可由操作员操作和/或由专家或计算机程序分析。
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公开(公告)号：US08620591B2
公开(公告)日：2013-12-31
申请号：US12984400
申请日：2011-01-04
申请人： Stephan W. Wegerich
发明人： Stephan W. Wegerich
IPC分类号： G01N33/48 , G06G7/58 , A61B5/0205 , A61B5/021
CPC分类号： A61B5/7264 , A61B5/0205 , A61B5/021 , A61B5/024 , A61B5/0809 , A61B5/0816 , A61B5/091 , A61B5/14551 , A61B5/412 , A61B5/6898 , A61B5/7275 , A61B5/7278 , A61B5/746 , G06F19/00 , G16H50/30 , G16H50/50
摘要： Ambulatory or in-hospital monitoring of patients is provided with early warning and prioritization, enabling proactive intervention and amelioration of both costs and risks of health care. Multivariate physiological parameters are estimated by empirical model to remove normal variation. Residuals are tested using a multivariate probability density function to provide a multivariate health index for prioritizing medical effort.
摘要翻译： 患者的门诊或住院监测提供早期预警和优先次序，能够主动干预和改善医疗保健的成本和风险。 通过经验模型估计多变量生理参数，以消除正常变异。 残留物使用多变量概率密度函数进行测试，以提供多变量健康指数来优先考虑医疗工作。
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公开(公告)号：US08239170B2
公开(公告)日：2012-08-07
申请号：US12055471
申请日：2008-03-26
申请人： Stephan W. Wegerich
发明人： Stephan W. Wegerich
IPC分类号： H03F1/26
CPC分类号： G06K9/00536 , G06F19/00
摘要： A system, method and program product for monitoring a complex signal for ultrasensitive detection of state changes, or for signature recognition and classification is provided. A complex signal is decomposed periodically for empirical modeling. Wavelet analysis, frequency band filtering or other methods may be used to decompose the complex signal into components. A library of signature data may be referenced for selection of a recognized signature in the decomposed complex signal. The recognized signature may indicate data being carried in the complex signal. Estimated signal data may be generated for determination of an operational state of a monitored process or machine using a statistical hypothesis test with reference to the decomposed input signal.
摘要翻译： 提供了用于监视用于状态变化的超灵敏检测或用于签名识别和分类的复信号的系统，方法和程序产品。 一个复杂的信号被定期地分解用于经验建模。 可以使用小波分析，频带滤波或其他方法将复信号分解为分量。 可以引用签名数据库来选择分解的复信号中的识别签名。 识别的签名可以指示在复合信号中携带的数据。 可以使用参考分解的输入信号的统计假设检验来生成估计信号数据，以确定被监视的处理或机器的操作状态。
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公开(公告)号：US07539597B2
公开(公告)日：2009-05-26
申请号：US10681888
申请日：2003-10-09
IPC分类号： G06F17/00
CPC分类号： G06K9/00536 , G05B23/0254 , G05B23/0281 , G06K9/6284 , Y10S707/99945 , Y10S707/99948
摘要： A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.
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公开(公告)号：US06876943B2
公开(公告)日：2005-04-05
申请号：US10393338
申请日：2003-03-20
申请人： Stephan W. Wegerich
发明人： Stephan W. Wegerich
CPC分类号： G05B17/02 , G01D3/08 , G01D21/00 , G05B23/0286
摘要： An improved system and method for producing replacement sensor signals for failed sensors, and inferred sensor signals for non-instrumented physical parameters, in processes and equipment having one or more sensors in place for monitoring physical parameters. A data history from a fully-instrumented prototype provides a representative data set of anticipated operating parameters for forming an empirical model in a computer module for generating “virtual” signals for a process or machine in real-time. Replacement or inferential sensor signals can be advantageously used in downstream control processing or analysis. A memory for storing the representative training set, or a transformation thereof, is coupled to a processor. The processor receives from an input data signals embodying real values from sensors actually on the process or machine, and may receive these in real-time. The processor is disposed to take a set of readings of the actual sensors from the input, mid generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data, as weighted by the result of a measure of similarity of the input sensor data to the representative training set sensor data.
摘要翻译： 用于生成用于故障传感器的替代传感器信号的改进的系统和方法，以及用于非仪表化物理参数的推断的传感器信号，在具有用于监测物理参数的一个或多个传感器的过程和设备中。 来自完全仪器化原型的数据历史提供了用于在计算机模块中形成经验模型的预期操作参数的代表性数据集，用于实时地为过程或机器生成“虚拟”信号。 替代或推理传感器信号可以有利地用于下游控制处理或分析。 用于存储代表性训练集的存储器或其变换被耦合到处理器。 处理器从输入端接收来自传感器的数据信号，实际上来自传感器实际上在过程或机器上，并且可以实时接收这些信号。 处理器被设置为从输入采集实际传感器的一组读数，中间使用代表性训练集传感器数据的线性组合产生一个或多个所需推断的传感器的估计值，由该测量结果加权 输入传感器数据与代表性训练集传感器数据的相似性。
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16.发明授权Global state change indicator for empirical modeling in condition based monitoring 有权基于状态监测的经验建模的全局状态变化指标公开(公告)号：US06859739B2
公开(公告)日：2005-02-22
申请号：US09794454
申请日：2001-02-27
申请人： Stephan W. Wegerich , David R. Bell , Xiao Xu
发明人： Stephan W. Wegerich , David R. Bell , Xiao Xu
CPC分类号： G05B23/0243 , G05B17/02
摘要： An improved empirical model-based surveillance or control system for monitoring or controlling a process or machine provides identification of transitions between operational states. Empirical model-based estimates generated in response to receiving actual operational parameters are compared using a global similarity operator to the actual parameters to indicate whether the process or machine is operating in a stable state, or is in transition from one state to another.
摘要翻译： 用于监测或控制过程或机器的改进的基于经验模型的监视或控制系统提供了操作状态之间的转换的识别。 根据接收到的实际操作参数生成的基于模型的经验估计，使用全局相似性运算符与实际参数进行比较，以指示过程或机器是处于稳定状态还是处于从一个状态转变到另一状态。
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公开(公告)号：US07308385B2
公开(公告)日：2007-12-11
申请号：US11203853
申请日：2005-08-15
IPC分类号： G06F15/00
CPC分类号： G05B23/0254 , G05B23/0281 , G06K9/00536 , G06K9/6284
摘要： A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.
摘要翻译： 用于经验诊断受监视系统状况的系统。 来自系统模型的监测参数的估计提供可以分析故障模式签名识别的残差值。 还可以对警报（非零）条件测试剩余值，并分析故障模式签名模式，从而生成的警报模式。 该系统采用相似性算子进行签名识别，并进行参数估计。 故障模式是经验确定的，并且自动分析前体数据以确定故障模式的可区分签名。
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18.发明授权公开(公告)号：US07233886B2
公开(公告)日：2007-06-19
申请号：US09795509
申请日：2001-02-27
申请人： Stephan W. Wegerich , David R. Bell , Xiao Xu
发明人： Stephan W. Wegerich , David R. Bell , Xiao Xu
CPC分类号： G05B23/0254 , G05B23/0297
摘要： An improved empirical model-based surveillance or control system for monitoring or controlling a process or machine provides adaptation of the empirical model in response to new operational states that are deemed normal or non-exceptional for the process or machine. An adaptation decision module differentiates process or sensor upset requiring alerts from new operational states not yet modeled. A retraining module updates the empirical model to incorporate the new states, and a pruning technique optionally maintains the empirical model by removing older states in favor of the added new states recognized by the model.
摘要翻译： 用于监测或控制过程或机器的改进的基于经验模型的监控或控制系统响应于被认为是过程或机器的正常或非例外的新的操作状态来提供经验模型的适应。 适应决策模块区分过程或传感器不安，需要尚未建模的新操作状态的警报。 再培训模块更新经验模型以纳入新状态，修剪技术可选择地通过删除旧状态来维护经验模型，有利于模型识别的新增状态。
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公开(公告)号：US06556939B1
公开(公告)日：2003-04-29
申请号：US09718592
申请日：2000-11-22
申请人： Stephan W. Wegerich
发明人： Stephan W. Wegerich
IPC分类号： G01D100
CPC分类号： G05B17/02 , G01D3/08 , G01D21/00 , G05B23/0286
摘要： Inferred sensor signals are generated for uninstrumented physical parameters not among parameters measured in processes and equipment having one or more sensors in place for monitoring physical parameters. Inferential sensor signals can be advantageously used in downstream control processing or analysis. The inferred sensor signals generated accordingly may be returned to a control system or display system local to the process or machine, or located at the remote location or yet a different remote location. The system can provide expected parameter values, as well as the differences between expected and input signals; or the system can provide raw measures of similarity between the collection of input signals and the collection of acceptable modeled states. A memory for storing the representative training set, or a transformation thereof, is coupled to a processor. The processor receives from an input data signals embodying real values from sensors and is disposed to acquire a complex signal to generate an estimate of one or more desired inferred sensors, using a linear combination of the representative training set sensor data.
摘要翻译： 对未测量的物理参数产生推测的传感器信号，而不是在具有一个或多个传感器的过程中测量的参数中，用于监测物理参数。 推理传感器信号可以有利地用于下游控制处理或分析。 相应地生成的推断的传感器信号可以返回到过程或机器本地的控制系统或显示系统，或者位于远程位置或另一远程位置。 该系统可以提供预期的参数值，以及预期信号和输入信号之间的差异; 或者系统可以在收集输入信号和收集可接受的建模状态之间提供原始的相似度量。 用于存储代表性训练集的存储器或其变换被耦合到处理器。 处理器从输入端接收体现来自传感器的真实值的数据信号，并且使用代表性的训练集传感器数据的线性组合来设置以获取复信号以产生一个或多个所需推断的传感器的估计。
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公开(公告)号：US07941701B2
公开(公告)日：2011-05-10
申请号：US12184575
申请日：2008-08-01
IPC分类号： G06F11/00
CPC分类号： G05B23/0278 , G05B23/0254 , G06K9/626 , G06N5/025
摘要： A method and apparatus are provided for diagnosing faults in a monitored system. Estimates of parameter data are generated from the system with reference parameter data characteristic of known behavior of the system. The generated estimates of the parameter data are compared with measured parameter data. A residual is determined for each of the parameters based on a relationship between the estimates of the parameter data and the measured parameter data. A fuzzy classification rule is implemented to determine a likelihood that a predetermined fault exists by using residuals for parameters used to indicate the existence of the predetermined fault.
摘要翻译： 提供了一种用于诊断被监视系统中的故障的方法和装置。 参数数据的估计是从具有系统已知行为参数参数数据的系统生成的。 将参数数据的生成估计与测量的参数数据进行比较。 基于参数数据的估计与所测量的参数数据之间的关系，确定每个参数的残差。 实施模糊分类规则以通过对用于指示预定故障的存在的参数使用残差来确定存在预定故障的可能性。
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