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1. 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。

2. 发明授权

US07676333B2 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：US07676333B2
公开(公告)日：2010-03-09
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： 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。

3. 发明授权

US08214314B2 System and process for a fusion classification for insurance underwriting suitable for use by an automated system 有权
标题翻译：用于融合分类的系统和过程，适用于自动化系统使用的保险承保
公开(公告)号：US08214314B2
公开(公告)日：2012-07-03
申请号：US12131545
申请日：2008-06-02
申请人： Piero Patrone Bonissone , Kareem Sherif Aggour , Rajesh Venkat Subbu , Weizhong Yan , Naresh Sundaram Iyer , Anindya Chakraborty
发明人： Piero Patrone Bonissone , Kareem Sherif Aggour , Rajesh Venkat Subbu , Weizhong Yan , Naresh Sundaram Iyer , Anindya Chakraborty
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q40/08 , G06Q40/00
摘要： A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable.
摘要翻译：描述用于融合用于自动保险承保系统的分类器集合和/或其质量保证的方法和系统。具体来说，分类器的集合的输出被融合。数据的融合通常会导致一些共识和分类器之间的一些冲突。共识将被测量并用于估计融合决策的信心程度。根据融合的决定和信心程度以及生产决策引擎的决策和决策程度，然后可以使用比较模块来识别审计案例，增加用于重新调整生产的培训/测试集的案例决策引擎，审查案例，或者可以简单地触发其发生记录以进行跟踪。融合可以补偿分类器之间的潜在相关性。每个分类器的可靠性可以由静态或动态折扣因子表示，这将反映分类器的预期准确性。静态折扣因子用于表示对分类器的可靠性的先前期望，例如，可以基于模型的平均过去精度，而使用动态贴现来表示分类器的可靠性的条件评估，例如，每当分类器的输出基于不可靠的点数不足。

4. 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。

5. 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。

6. 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。

7. 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。

8. 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。

9. 发明授权

US07725293B2 System and method for equipment remaining life estimation 有权
标题翻译：设备剩余寿命估算的系统和方法
公开(公告)号：US07725293B2
公开(公告)日：2010-05-25
申请号：US11608058
申请日：2006-12-07
申请人： Piero Patrone Bonissone , Feng Xue , Anil Varma , Kai Frank Goebel , Weizhong Yan , Neil Holger White Eklund
发明人： Piero Patrone Bonissone , Feng Xue , Anil Varma , Kai Frank Goebel , Weizhong Yan , Neil Holger White Eklund
IPC分类号： G06F3/00
CPC分类号： G06N5/04
摘要： A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.
摘要翻译：公开了一种预测目标的剩余寿命的方法。该方法包括接收关于目标的行为的信息，以及从数据库中识别具有与目标相似的至少一件设备。该方法还包括在设备使用寿命结束之前从数据库中获取数据，数据与行为有关系，评估关系的相似性，基于相似度预测目标的剩余寿命，并产生信号对应于预计的剩余设备寿命。

10. 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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