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21. 发明申请

US20100287478A1 SEMI-AUTOMATED AND INTER-ACTIVE SYSTEM AND METHOD FOR ANALYZING PATENT LANDSCAPES 失效
标题翻译：半自动和互动系统和分析专利景观的方法
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。

22. 发明授权

US07509235B2 Method and system for forecasting reliability of assets 有权
标题翻译：资产可靠性预测方法与系统
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。

23. 发明授权

US07814034B2 Method and system for automatically developing a fault classification system by segregation of kernels in time series data 有权
标题翻译：用于通过时间序列数据中的内核分离自动开发故障分类系统的方法和系统
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。

24. 发明授权

US07548830B2 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：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。

25. 发明授权

US07844476B2 Process for case-based insurance underwriting suitable for use by an automated system 有权
标题翻译：基于案例的保险承保流程，适用于自动化系统
公开(公告)号：US07844476B2
公开(公告)日：2010-11-30
申请号：US10171190
申请日：2002-06-14
申请人： Piero Patrone Bonissone , Richard Paul Messmer , Dan Yang , Marc Pavese , Angela Neff Patterson , Antonio Mogro-Campero , Anil Varma , William Michael Durham , Diane Marie Russell , Rajesh Venkat Subbu
发明人： Piero Patrone Bonissone , Richard Paul Messmer , Dan Yang , Marc Pavese , Angela Neff Patterson , Antonio Mogro-Campero , Anil Varma , William Michael Durham , Diane Marie Russell , Rajesh Venkat Subbu
IPC分类号： G06Q40/00
CPC分类号： G06Q40/08 , G06F19/00 , G06Q50/22 , G06Q50/24
摘要： A process for at least a partial underwriting of insurance policies is described. Based on the similarity to previous insurance applications, a decision on the current request for underwriting may be made. This decision-making process represents an analogical approach to the placement of an insurance application to an underwriting category, whereby a given insurance application request is compared to previous requests.
摘要翻译：描述了至少部分承保保险单的过程。根据与以往保险申请的相似性，可以对目前的承保请求作出决定。该决策过程代表将保险申请放置于承保类别的类比方法，从而将给定的保险申请请求与以前的请求进行比较。

26. 发明申请

US20080140352A1 SYSTEM AND METHOD FOR EQUIPMENT LIFE ESTIMATION 有权
标题翻译：设备寿命估计的系统和方法
公开(公告)号：US20080140352A1
公开(公告)日：2008-06-12
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： G06F15/00
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。

27. 发明授权

US08412659B2 Semi-automated and inter-active system and method for analyzing patent landscapes 失效
标题翻译：用于分析专利景观的半自动化和互动系统和方法
公开(公告)号：US08412659B2
公开(公告)日：2013-04-02
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： G06F17/00 , G06N5/00
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。

28. 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。

29. 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。

30. 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。

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