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。

公开(公告)号：US07958062B2

公开(公告)日：2011-06-07

申请号：US11755898

申请日：2007-05-31

申请人： Weizhong Yan ,  Anil Varma ,  Piero Patrone Bonissone

发明人： Weizhong Yan ,  Anil Varma ,  Piero Patrone Bonissone

IPC分类号： G06N5/00

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。

公开(公告)号：US20080140361A1

公开(公告)日：2008-06-12

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： G06F17/10

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，并且生成 信号对应于预计的剩余设备寿命。

公开(公告)号：US07937334B2

公开(公告)日：2011-05-03

申请号：US11755924

申请日：2007-05-31

申请人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

发明人： Piero Patrone Bonissone ,  Weizhong Yan ,  Naresh Sundaram Iyer ,  Kai Goebel ,  Anil Varma

IPC分类号： G06F17/00

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.

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。

公开(公告)号：US07383239B2

公开(公告)日：2008-06-03

申请号：US10425721

申请日：2003-04-30

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。

公开(公告)号：US07317994B2

公开(公告)日：2008-01-08

申请号：US11200156

申请日：2005-08-10

申请人： Naresh Sundaram Iyer ,  John Erik Hershey ,  James Kenneth Aragones ,  Kai Frank Goebel ,  Weizhong Yan ,  Piero Patrone Bonissone ,  Charles Terrance Hatch

发明人： Naresh Sundaram Iyer ,  John Erik Hershey ,  James Kenneth Aragones ,  Kai Frank Goebel ,  Weizhong Yan ,  Piero Patrone Bonissone ,  Charles Terrance Hatch

IPC分类号： G01H9/00

CPC分类号： G01M15/12

摘要： A method for analyzing vibration including: acquiring a vibration signal; isolating a vibration signal event in the acquired signal; determining a frequency of a damped sinusoid of the vibration signal event, wherein the damped sinusoid characterizes the vibration signal event, and using the characteristic damped sinusoid to identify an occurrence of the vibration signal event in another vibration signal.

摘要翻译： 一种用于分析振动的方法，包括：获取振动信号; 隔离所获取的信号中的振动信号事件; 确定所述振动信号事件的阻尼正弦曲线的频率，其中所述阻尼正弦曲线表征所述振动信号事件，并且使用所述特征阻尼正弦曲线来识别所述振动信号事件在另一振动信号中的出现。

公开(公告)号：US20100287478A1

公开(公告)日：2010-11-11

申请号：US12463731

申请日：2009-05-11

申请人： Viswanath Avasarala ,  John Erik Hershey ,  Anil Varma ,  Piero Patrone Bonissone

发明人： Viswanath Avasarala ,  John Erik Hershey ,  Anil Varma ,  Piero Patrone Bonissone

IPC分类号： G06F15/177 ,  G06F17/30

CPC分类号： G06F17/30643 ,  G06F17/30011 ,  G06F17/30713

摘要： A semi-automated method for interactively analyzing a patent landscape in one embodiment includes retrieving a plurality of relevant patents indicative of a predetermined conceptual region of the patent landscape from a patent repository using a query. Competitive analysis of the plurality of relevant patents is conducted using an interactive network-based visualization technique. The competitive analysis is used for intellectual property enforcement, due diligence, and strategic investment analysis.

摘要翻译： 在一个实施例中用于交互地分析专利环境的半自动化方法包括使用查询从专利储存库检索指示专利环境的预定概念区域的多个相关专利。 使用基于交互式网络的可视化技术来进行多个相关专利的竞争分析。 竞争分析用于知识产权执法，尽职调查和战略投资分析。

公开(公告)号：US07509235B2

公开(公告)日：2009-03-24

申请号：US11216940

申请日：2005-08-31

申请人： Piero Patrone Bonissone ,  Kareem Sherif Aggour ,  Anil Varma

发明人： Piero Patrone Bonissone ,  Kareem Sherif Aggour ,  Anil Varma

IPC分类号： G06F11/30

CPC分类号： G06Q40/06

摘要： A method and system of forecasting reliability of an asset is provided. The method includes identifying peer units of the asset by using selected criteria, performing a search for the peer units based upon the selected criteria, and constructing local predictive models using the peer units. The method also includes estimating the future behavior of the asset based upon the local predictive models and dynamically updating the local predictive models to reflect at least one change in the criteria.

摘要翻译： 提供了一种预测资产可靠性的方法和系统。 该方法包括通过使用选择的标准来识别资产的对等单元，基于所选择的标准执行对对等单元的搜索，以及使用对等单元构建本地预测模型。 该方法还包括基于本地预测模型估计资产的未来行为，并动态更新本地预测模型以反映标准中的至少一个变化。

公开(公告)号：US07814034B2

公开(公告)日：2010-10-12

申请号：US11755893

申请日：2007-05-31

申请人： Neil Holger White Eklund ,  Weizhong Yan ,  Varma Anil ,  Piero Patrone Bonissone

发明人： Neil Holger White Eklund ,  Weizhong Yan ,  Varma Anil ,  Piero Patrone Bonissone

IPC分类号： G06E1/00 ,  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。

公开(公告)号：US07548830B2

公开(公告)日：2009-06-16

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： G06F17/18

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。