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11. 发明申请

US20120083933A1 METHOD AND SYSTEM TO PREDICT POWER PLANT PERFORMANCE 审中-公开
标题翻译：预测发电厂性能的方法和系统
公开(公告)号：US20120083933A1
公开(公告)日：2012-04-05
申请号：US12895293
申请日：2010-09-30
申请人： Rajesh Venkat Subbu , Lincoln Mamoru Fujita , Weizhong Yan , Noemie Dion Ouellet , Richard J. Mitchell , Piero Patrone Bonissone , Robert Frank Hoskin
发明人： Rajesh Venkat Subbu , Lincoln Mamoru Fujita , Weizhong Yan , Noemie Dion Ouellet , Richard J. Mitchell , Piero Patrone Bonissone , Robert Frank Hoskin
IPC分类号： G06F1/26 , G06N3/02 , G06N3/08
CPC分类号： G06N3/02
摘要： The present disclosure relates to the use of hybrid predictive models to predict one or more of performance, availability, or degradation of a power plant or a component of the power plant. The hybrid predictive model comprises at least two model components, one based on a physics-based modeling approach and one based on an observational or data-based modeling approach. The hybrid predictive model may self-tune or self-correct as operational performance varies over time.
摘要翻译：本公开涉及使用混合预测模型来预测发电厂或发电厂的部件的性能，可用性或劣化的一个或多个。混合预测模型包括至少两个模型组件，一个基于基于物理的建模方法，另一个基于基于观测或基于数据的建模方法。混合预测模型可以自我调整或自我纠正，因为随着时间的推移，操作性能也随之变化。

12. 发明申请

US20090132855A1 AUTOMATED KERNEL EXTRACTION 有权
标题翻译：自动提取KERNEL
公开(公告)号：US20090132855A1
公开(公告)日：2009-05-21
申请号：US11755893
申请日：2007-05-31
申请人： Neil Holger Eklund , Weizhong Yan , Yarma Anil , Piero Patrone Bonissone
发明人： Neil Holger Eklund , Weizhong Yan , Yarma Anil , Piero Patrone Bonissone
IPC分类号： G06F11/34 , G06F15/18
CPC分类号： G05B23/0229
摘要： A method and system for automatically developing a fault classification system from time series data. The sensors need not have been intended for diagnostic purposes (e.g., control sensors). These methods and systems are functionally independent of knowledge related to a particular equipment system, thereby allowing seamless application to multiple systems, regardless of the suite of sensors in each system. Because this algorithm is totally automated, substantial savings in time and development cost can be achieved. The algorithm results in a classification system and a set of features that might be used to develop alternative classification systems without human intervention.
摘要翻译：一种从时间序列数据自动开发故障分类系统的方法和系统。传感器不需要用于诊断目的（例如，控制传感器）。这些方法和系统在功能上独立于与特定设备系统相关的知识，从而允许无缝地应用于多个系统，而不管每个系统中的传感器套件如何。因为这个算法是完全自动的，所以可以大大节省时间和开发成本。该算法导致分类系统和一组特征，可用于开发替代分类系统而无需人为干预。

13. 发明申请

US20080208487A1 SYSTEM AND METHOD FOR EQUIPMENT REMAINING LIFE ESTIMATION 有权
标题翻译：用于设备的生命周期估计的系统和方法
公开(公告)号：US20080208487A1
公开(公告)日：2008-08-28
申请号：US11678273
申请日：2007-02-23
申请人： Kai Frank Goebel , Piero Patrone Bonissone , Weizhong Yan , Neil Holger White Eklund , Feng Xue
发明人： Kai Frank Goebel , Piero Patrone Bonissone , Weizhong Yan , Neil Holger White Eklund , Feng Xue
IPC分类号： G06F19/00
CPC分类号： G06Q10/04 , G05B23/0283
摘要： A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.
摘要翻译：公开了一种减少使用一组不同模型预测探测器的剩余寿命的不确定性界限的方法。该方法包括通过不同模型集合的每个模型生成估计的剩余寿命输出，通过融合模型聚合各自的估计剩余寿命输出中的每一个，并且响应于聚合预测剩余寿命，预测具有降低的不确定性基于聚合的边界。该方法还包括产生与探测器的预测剩余寿命相对应的信号。

14. 发明授权

US07813945B2 System and process for multivariate adaptive regression splines classification for insurance underwriting suitable for use by an automated system 有权
标题翻译：适用于自动化系统使用的保险承保的多变量自适应回归样条分类系统和过程
公开(公告)号：US07813945B2
公开(公告)日：2010-10-12
申请号：US10425733
申请日：2003-04-30
申请人： Piero Patrone Bonissone , Richard Paul Messmer , Rajesh Venkat Subbu , Weizhong Yan , Anindya Chakraborty
发明人： Piero Patrone Bonissone , Richard Paul Messmer , Rajesh Venkat Subbu , Weizhong Yan , Anindya Chakraborty
IPC分类号： G06Q40/00
CPC分类号： G06Q40/02 , G06Q40/08
摘要： A method and system for automating the decision-making process used in underwriting of insurance applications is described. While this approach is demonstrated for insurance underwriting, it is broadly applicable to diverse decision-making applications in business, commercial, and manufacturing processes. A structured methodology is used based on a multi-model parallel network of multivariate adaptive regression splines (“MARS”) models to identify the relevant set of variables and their parameters, and build a framework capable of providing automated decisions. The parameters of the MARS-based decision system are estimated from a database consisting of a set of applications with reference decisions against each. Cross-validation and development/hold-out combined with re-sampling techniques are used to build a robust set of models that minimize the error between the automated system's decision and the expert human underwriter. Furthermore, this model building methodology can be used periodically to update and maintain the family of models if required to assure currency.
摘要翻译：描述了一种自动化用于承保保险应用程序的决策过程的方法和系统。虽然这种方法在保险承保方面得到证明，但它广泛适用于商业，商业和制造过程中的各种决策应用。基于多变量自适应回归样条（“MARS”）模型的多模式并行网络，使用一种结构化方法来识别相关的变量及其参数集，并构建能够提供自动化决策的框架。基于MARS的决策系统的参数是由一组数据库估算出来的，该数据库由一组应用程序组成，具有相应的参考决定。交叉验证和开发/保留与重新采样技术相结合，用于构建一套强大的模型，以最大限度地减少自动系统决策与专家人类承保人之间的错误。此外，如果需要确保货币，则可以定期使用此模型构建方法来更新和维护模型系列。

15. 发明授权

US07395188B1 System and method for equipment life estimation 有权
标题翻译：设备寿命估算系统及方法
公开(公告)号：US07395188B1
公开(公告)日：2008-07-01
申请号：US11608076
申请日：2006-12-07
申请人： Kai Frank Goebel , Piero Patrone Bonissone , Weizhong Yan , Neil Holger White Eklund , Feng Xue , Hai Qiu
发明人： Kai Frank Goebel , Piero Patrone Bonissone , Weizhong Yan , Neil Holger White Eklund , Feng Xue , Hai Qiu
IPC分类号： G06F11/30 , G21C17/00
CPC分类号： G05B19/4184 , G05B2219/32234 , G05B2219/32235 , G05B2219/32369 , Y02P90/14 , Y02P90/26
摘要： A method to predict equipment life is disclosed. The method includes making available a set of input parameters, and defining a model of a health of the equipment as a function of the set of input parameters. The method continues with receiving at least one signal representative of a respective one of an actual sensor output relating to an actual operation attribute margin of the equipment, predicting a remaining useful equipment life based upon a sequence of outputs of the model of the health of the equipment, and generating a signal corresponding to the remaining useful equipment life.
摘要翻译：公开了一种预测设备寿命的方法。该方法包括提供一组输入参数，以及根据输入参数集合定义设备健康的模型。该方法继续接收表示与设备的实际操作属性边缘相关的实际传感器输出中的相应一个信号的至少一个信号，基于该设备的健康模型的输出序列来预测剩余的有用设备寿命设备，并产生对应于剩余有用设备寿命的信号。

16. 发明申请

US20080091630A1 SYSTEM AND METHOD FOR DEFINING NORMAL OPERATING REGIONS AND IDENTIFYING ANOMALOUS BEHAVIOR OF UNITS WITHIN A FLEET, OPERATING IN A COMPLEX, DYNAMIC ENVIRONMENT 有权
标题翻译：用于定义正常操作区域的系统和方法，并识别单元中的单个异常行为，复杂动态环境中的操作
公开(公告)号：US20080091630A1
公开(公告)日：2008-04-17
申请号：US11755924
申请日：2007-05-31
申请人： Piero Bonissone , Weizhong Yan , Naresh Iyer , Kai Goebel , Anil Varma
发明人： Piero Bonissone , Weizhong Yan , Naresh Iyer , Kai Goebel , Anil Varma
IPC分类号： G06N5/00
CPC分类号： G05B23/024 , G06K9/6284 , G06N99/005
摘要： Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions. Of particular interest is the detection and identification of units' epidemics, which is defined as sustained/increasing numbers of anomalies over time.
摘要翻译：提供了监控在复杂，动态环境中运行的动态单元，以便对时间段内的单元行为进行分类和跟踪。当领域知识可用时，可以使用基于特征的模型来捕获单位的基本状态信息。当领域知识不可用时，依靠原始数据来执行此任务。通过分析事件消息的日志（不访问其数据字典），实施例允许识别异常（新奇事物）。具体来说，归一化压缩距离（例如基于Kolmogorov复杂度的距离）可以应用于事件消息的日志。通过分析事件消息日志的相似性和差异，识别出没有经历任何异常（并定位正常操作的区域）的单位和离开这些区域的单位。特别感兴趣的是检测和识别单位的流行病，其定义为持续/越来越多的异常随时间变化。

17. 发明申请

US20080091715A1 METHOD AND SYSTEM OF CREATING HEALTH OPERATING ENVELOPE FOR DYNAMIC SYSTEMS BY UNSUPERVISED LEARNING OF A SEQUENCE OF DISCRETE EVENT CODES 有权
标题翻译：通过不间断学习离散事件代码的序列，为动态系统创建健康操作包的方法和系统
公开(公告)号：US20080091715A1
公开(公告)日：2008-04-17
申请号：US11755898
申请日：2007-05-31
申请人： Weizhong Yan , Anil Varma , Piero Bonissone
发明人： Weizhong Yan , Anil Varma , Piero Bonissone
IPC分类号： G06F17/30
CPC分类号： G06F11/2263
摘要： A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.
摘要翻译：提供了一种从动态系统的正常操作/行为中获得的数据样本创建健康操作包络的方法和系统。该方法通过在正常操作条件下聚类来自底层系统的离散事件代码序列流来确定健康操作包络。该方法是无监督的，也就是说，不需要事先知道与不同操作条件对应的事件代码模式。这种创建的信封可用于动态系统的故障检测和健康监测。

18. 发明授权

US07898943B2 Method for switching route and network device thereof 有权
标题翻译：交换路由及其网络设备的方法
公开(公告)号：US07898943B2
公开(公告)日：2011-03-01
申请号：US10591218
申请日：2006-01-09
申请人： Weizhong Yan
发明人： Weizhong Yan
IPC分类号： G01R31/08
CPC分类号： H04L45/28 , H04L45/00 , H04L45/22 , H04L45/54 , H04L49/3009 , H04L49/309 , H04L49/55
摘要： A method for switching route and a network device are disclosed, wherein the method comprises: setting a relationship between a port number of each destination port and a port number of the transmitting port, the port number of each transmitting port is the port number of the corresponding destination port; when there is a service failure in any destination port, modifying the port number of the transmitting port corresponding to a fault destination port into the port number of the backup port corresponding to the fault destination port in the set relationship, and saving the modified relationship; after receiving a data packet, the network device transmitting the data packet based on the saved relationship. The network device comprises a CPU, a first routing unit and a second routing unit. In accordance with the present invention, the time consumed by modifying routing data can be reduced, enabling the network device to switch route quickly and the user services to recover quickly.
摘要翻译：公开了一种交换路由和网络设备的方法，其特征在于，该方法包括：设置每个目的端口的端口号与发送端口的端口号之间的关系，每个发送端口的端口号是对应目的地端口; 当目的端口出现业务故障时，将与故障目的端口对应的发送端口的端口号修改为与该关系中的故障目的端口对应的备份端口的端口号，并保存修改后的关系; 接收到数据包后，网络设备根据保存的关系发送数据包。网络设备包括CPU，第一路由单元和第二路由单元。根据本发明，可以减少修改路由数据消耗的时间，使网络设备能够快速切换路由，快速恢复用户业务。

19. 发明申请

US20090119035A1 METHOD AND APPARATUS FOR ANALYZING PARTIAL DISCHARGES IN ELECTRICAL DEVICES 有权
标题翻译：用于分析电气设备中部分放电的方法和装置
公开(公告)号：US20090119035A1
公开(公告)日：2009-05-07
申请号：US11935956
申请日：2007-11-06
申请人： Abdelkrim Younsi , Sameh Ramadan Salem , Weizhong Yan , Gian Carlo Montanari
发明人： Abdelkrim Younsi , Sameh Ramadan Salem , Weizhong Yan , Gian Carlo Montanari
IPC分类号： G06F19/00 , G01R31/02
CPC分类号： G01R31/1227 , G01R31/343
摘要： A method of analyzing partial discharge data collected from an electrical device includes collecting partial discharge data from a first electrical device belonging to a group of electrical devices. The group of electrical devices is at least partially defined by at least one electrical device classification. The method also includes generating a comparison of at least a portion of the partial discharge data collected from the first electrical device with at least a portion of the partial discharge data collected from at least one second electrical device. The at least one second electrical device is selected from the group of electrical devices that includes the first electrical device. The method further includes transmitting the results.
摘要翻译：分析从电气设备收集的局部放电数据的方法包括从属于一组电气设备的第一电气设备收集局部放电数据。该电子设备组至少部分地由至少一个电气设备分类限定。该方法还包括生成从第一电气设备收集的部分放电数据的至少一部分与从至少一个第二电气设备收集的局部放电数据的至少一部分的比较。所述至少一个第二电气设备选自包括第一电气设备的一组电气设备。该方法还包括传送结果。

20. 发明申请

US20100111376A1 Assesssing biometric sample quality using wavelets and a boosted classifier 有权
标题翻译：使用小波和增强分类器评估生物特征样本质量
公开(公告)号：US20100111376A1
公开(公告)日：2010-05-06
申请号：US12457959
申请日：2009-06-26
申请人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
发明人： Weizhong Yan , Frederick W. Wheeler , Peter H. Tu , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G07C9/00158 , G06K9/00268 , G06K9/036 , G06K9/6255
摘要： A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.
摘要翻译：描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。小波和增强分类器用于评估生物特征样本的质量，如面部图像。所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。

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