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1. 发明授权

US06553334B2 System for surveillance of spectral signals 有权
标题翻译：光谱信号监控系统
公开(公告)号：US06553334B2
公开(公告)日：2003-04-22
申请号：US09858786
申请日：2001-05-16
申请人： Kenneth C. Gross , Stephan Wegerich , Cynthia Criss-Puszkiewicz , Alan D. Wilks
发明人： Kenneth C. Gross , Stephan Wegerich , Cynthia Criss-Puszkiewicz , Alan D. Wilks
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 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，并且应用顺序概率比测试方法来确定在监视下的系统的操作状态的三维表面特征。

2. 发明授权

US5706321A Method for nonlinear optimization for gas tagging and other systems 失效
标题翻译：气体标签等系统非线性优化方法
公开(公告)号：US5706321A
公开(公告)日：1998-01-06
申请号：US640699
申请日：1996-05-01
申请人： Ting Chen , Kenny C. Gross , Stephan Wegerich
发明人： Ting Chen , Kenny C. Gross , Stephan Wegerich
IPC分类号： G21C17/04 , G21C21/02
CPC分类号： G21D3/001 , G21C17/048 , G21Y2002/201 , G21Y2004/40 , Y02E30/40
摘要： A method and system for providing nuclear fuel rods with a configuration of isotopic gas tags. The method includes selecting a true location of a first gas tag node, selecting initial locations for the remaining n-1 nodes using target gas tag compositions, generating a set of random gene pools with L nodes, applying a Hopfield network for computing on energy, or cost, for each of the L gene pools and using selected constraints to establish minimum energy states to identify optimal gas tag nodes with each energy compared to a convergence threshold and then upon identifying the gas tag node continuing this procedure until establishing the next gas tag node until all remaining n nodes have been established.
摘要翻译：一种提供具有同位素气体标签构型的核燃料棒的方法和系统。该方法包括选择第一气体标签节点的真实位置，使用目标气体标签组合选择剩余n-1个节点的初始位置，生成具有L个节点的一组随机基因库，应用Hopfield网络进行能量计算，或成本，并且使用选择的约束来建立最小能量状态以识别与收敛阈值相比的每个能量的最佳气体标签节点，然后在识别继续该过程的气体标签节点，直到建立下一个气体标签节点，直到所有剩余的n个节点已经建立。

3. 发明申请

US20050261837A1 Kernel-based system and method for estimation-based equipment condition monitoring 审中-公开
标题翻译：基于核心的系统和方法，用于基于估计的设备状态监测
公开(公告)号：US20050261837A1
公开(公告)日：2005-11-24
申请号：US11121148
申请日：2005-05-03
申请人： Stephan Wegerich , Xiao Xu
发明人： Stephan Wegerich , Xiao Xu
IPC分类号： G01N33/48 , G01N33/50 , G06F19/00 , G06N5/02
CPC分类号： G06N5/025
摘要： A system for monitoring in real-time the health of equipment or the performance of a process utilizing a universal modeling technique that generates estimates of parameters for gauging early indications of anomalies. A kernel regression model such as the Nadaraya-Watson may be used, and may be in autoassociative form. Kernel optimization is automatically provided. A support vector regression can be substituted for the kernel regression.
摘要翻译：用于实时监测设备健康或使用通用建模技术执行过程的系统的系统，该技术产生用于测量异常早期迹象的参数估计。可以使用诸如Nadaraya-Watson的内核回归模型，并且可以是自动关联形式。自动提供内核优化。支持向量回归可以代替内核回归。

4. 发明申请

US20070005311A1 Automated model configuration and deployment system for equipment health monitoring 有权
标题翻译：自动化模型配置和部署系统，用于设备健康监控
公开(公告)号：US20070005311A1
公开(公告)日：2007-01-04
申请号：US11409920
申请日：2006-04-24
申请人： Stephan Wegerich , Andre Wolosewicz , Xiao Xu , James Herzog , Robert Pipke
发明人： Stephan Wegerich , Andre Wolosewicz , Xiao Xu , James Herzog , Robert Pipke
IPC分类号： G06F17/10
CPC分类号： G05B23/0254 , G05B17/02
摘要： A method for systematically configuring and deploying an empirical model used for fault detection and equipment health monitoring. The method is driven by a set of data preprocessing and model performance metrics subsystems that when applied to a raw data set, produce an optimal empirical model.
摘要翻译：一种用于系统地配置和部署用于故障检测和设备健康监测的经验模型的方法。该方法由应用于原始数据集的一组数据预处理和模型性能指标子系统驱动，产生最佳经验模型。

5. 发明申请

US20060036403A1 Diagnostic systems and methods for predictive condition monitoring 有权
公开(公告)号：US20060036403A1
公开(公告)日：2006-02-16
申请号：US11203853
申请日：2005-08-15
申请人： Stephan Wegerich , Andre Wolosewicz , R. Pipke
发明人： Stephan Wegerich , Andre Wolosewicz , R. Pipke
IPC分类号： G21C17/00
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.

6. 发明申请

US20060025970A1 Complex signal decomposition and modeling 有权
标题翻译：复信号分解和建模
公开(公告)号：US20060025970A1
公开(公告)日：2006-02-02
申请号：US11126488
申请日：2005-05-11
申请人： Stephan Wegerich
发明人： Stephan Wegerich
IPC分类号： G06F15/00
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的信号数据，以确定被监视的过程或机器的操作状态。

7. 发明申请

US20050278143A1 System state monitoring using recurrent local learning machine 有权
标题翻译：系统状态监测采用循环本地学习机
公开(公告)号：US20050278143A1
公开(公告)日：2005-12-15
申请号：US11119322
申请日：2005-04-29
申请人： Stephan Wegerich , Xiao Xu
发明人： Stephan Wegerich , Xiao Xu
IPC分类号： A61B17/00 , G06F20060101 , G06F1/00 , G06F11/00 , G06F11/30 , G06F15/00 , G06F17/00 , G06F19/00
CPC分类号： G05B17/02 , G05B13/0275 , G05B23/0245 , G06F19/00
摘要： Reference data observations for given system are used to develop a reference set of such observations. Subsequent observations (comprising, in one embodiment, current observations) are then used to facilitate selection of portions of this reference set to yield a resultant set of observations that serves as a model. This model can then be used in comparison to actual system performance to detect, for example, a trend towards a faulty condition. Pursuant to a preferred approach, the model is recomputed from time to time and, pursuant to a particular embodiment, is recomputed with each new set of current observations.
摘要翻译：用于给定系统的参考数据观察用于开发此类观测的参考文献。随后的观察（在一个实施例中包括当前的观察）然后用于促进对该参考集的部分的选择，以产生用作模型的结果观测集合。然后可以将该模型与实际系统性能进行比较，以检测例如发生故障状态的趋势。根据优选的方法，不时地重新计算该模型，并且根据特定实施例，用每组新的当前观察值重新计算该模型。

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