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1. 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。

2. 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。

3. 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。

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

US07383239B2 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：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。

6. 发明授权

US07317994B2 Method and apparatus for signal signature analysis for event detection in rotating machinery 失效
标题翻译：用于旋转机械中事件检测的信号签名分析方法和装置
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。

7. 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。

8. 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。

9. 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。

10. 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。

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