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1. 发明申请

US20080140361A1 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：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。

2. 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。

3. 发明授权

US07958062B2 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：通过离散事件代码序列的无监督学习，为动态系统创建健康操作包络的方法和系统
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。

4. 发明授权

US07937334B2 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：用于定义正常运行区域的系统和方法，并识别在复杂的动态环境中运行的机队内的单元的异常行为
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。

5. 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。

6. 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。

7. 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。

8. 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。

9. 发明授权

US07630910B2 System 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系统，适用于自动化系统
公开(公告)号：US07630910B2
公开(公告)日：2009-12-08
申请号：US10170471
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： G06Q10/00
CPC分类号： G06Q40/08 , G06F19/00 , G06Q50/22 , G06Q50/24
摘要： A system 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制度。基于与以前的保险申请的相似性，可以对当前的承保请求作出决定。该决策过程代表将保险申请放置到承保类别的类比方法，从而将给定的保险申请请求与先前的请求进行比较。

10. 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。

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