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公开(公告)号：US20090132855A1
公开(公告)日：2009-05-21
申请号：US11755893
申请日：2007-05-31
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。
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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。
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33.发明授权System for case-based insurance underwriting suitable for use by an automated system 有权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
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。
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公开(公告)号：US09709980B2
公开(公告)日：2017-07-18
申请号：US13517113
申请日：2010-11-05
申请人： Piero Patrone Bonissone , Xiao Hu , David Bianucci , Lorenzo Salusti , Alessio Fabbri , Feng Xue , Viswanath Avasarala , Gianni Mochi , Alberto Pieri
发明人： Piero Patrone Bonissone , Xiao Hu , David Bianucci , Lorenzo Salusti , Alessio Fabbri , Feng Xue , Viswanath Avasarala , Gianni Mochi , Alberto Pieri
CPC分类号： G05B23/02 , G05B23/0278
摘要： Method, system and computer software for diagnosing a compressor. The method includes generating a feature vector of the compressor, the feature vector of the compressor including components describing states of various parts of the compressor; determining, based on fuzzy constraints, an aggregated anomaly vector corresponding to the feature vector; defining rules for a preset list of possible faults/failure modes of the compressor; calculating a corroborating measure between the aggregated anomaly vector and the rules; and identifying a fault/failure mode of the compressor based on a result of the corroborating measure.
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公开(公告)号：US20120191465A1
公开(公告)日：2012-07-26
申请号：US13011504
申请日：2011-01-21
申请人： Feng Xue , Richard L. Frowein , Piero Patrone Bonissone , Susan M. Quinion , Melissa Jaroneski , Angela Neff Patterson , James Kenneth Aragones
发明人： Feng Xue , Richard L. Frowein , Piero Patrone Bonissone , Susan M. Quinion , Melissa Jaroneski , Angela Neff Patterson , James Kenneth Aragones
摘要： The present disclosure relates approaches that may be used to analyze data from hospital records to identify deficiencies in the operation of the hospital. In certain implementations, features of the data may be evaluated in conjunction with performance indicators to identify root causes associated with the deficiencies. In further implementations, identification of root causes of deficiencies identified in the historical data may be used to generate recommendations for changes to the operation of the hospital. In further implementations, events may be predicted based on the identification of a features or features within the current data that is indicative of a pending problem or event.
摘要翻译： 本公开涉及可用于分析医院记录中的数据以识别医院操作不足的方法。 在某些实现中，可以结合性能指标来评估数据的特征，以识别与缺陷相关联的根本原因。 在进一步的实施中，识别历史数据中识别的缺陷的根本原因可以用于产生对医院操作的改变的建议。 在进一步的实现中，可以基于当前数据中指示待决问题或事件的特征或特征的识别来预测事件。
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公开(公告)号：US20090300417A1
公开(公告)日：2009-12-03
申请号：US12129632
申请日：2008-05-29
申请人： Piero Patrone Bonissone , John Erik Hershey , Robert James Mitchell, JR. , Rajesh Venkat Subbu, JR. , Avinash Vinayak Taware , Xiao Hu
发明人： Piero Patrone Bonissone , John Erik Hershey , Robert James Mitchell, JR. , Rajesh Venkat Subbu, JR. , Avinash Vinayak Taware , Xiao Hu
IPC分类号： G06F11/28
CPC分类号： G05B23/0254 , G05B2219/33295 , G05B2219/33296 , G07C3/00
摘要： A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.
摘要翻译： 一种用于资产系统的高级状态监测的方法包括使用多个自动关联神经网络来确定至少一个传感器在所述多个操作方案中的至少一个中感测到的实际值的估计; 从所述多个自相关神经网络中的每一个确定估计的感测值与由所述至少一个传感器感测的实际值之间的残差; 并通过使用模糊监督模型混合器组合残差; 对组合残差进行故障诊断; 以及通过分析组合残差来确定资产系统的操作变化。 必要时提供警报。 智能传感器系统包括用于执行本发明的方法的车载处理单元。
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公开(公告)号：US20090295561A1
公开(公告)日：2009-12-03
申请号：US12129611
申请日：2008-05-29
申请人： Xiao Hu , John Erik Hershey , Robert James Mitchell, JR. , Rajesh Venkat Subbu , Avinash Vinayak Taware , Piero Patrone Bonissone
发明人： Xiao Hu , John Erik Hershey , Robert James Mitchell, JR. , Rajesh Venkat Subbu , Avinash Vinayak Taware , Piero Patrone Bonissone
IPC分类号： G08B23/00
CPC分类号： G05B19/41875 , G05B2219/31455 , G05B2219/32201 , G05B2219/33027 , Y02P90/18 , Y02P90/22
摘要： A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention.
摘要翻译： 一种用于资产系统的高级状态监测的方法包括使用至少一个传感器来感测资产系统的操作状态的操作条件的实际值; 通过使用自动关联神经网络来估计操作条件的感测值; 确定估计的感测值和实际值之间的残差矢量; 并对残差向量进行故障诊断。 在另一种方法中，资产系统的运营空间被划分为运行状态; 自相关神经网络确定实际测量值的估计值; 从自相关神经网络确定残差向量; 对残差矢量执行故障诊断; 通过分析残差向量来确定资产系统的运作变化。 必要时提供警报。 智能传感器系统包括用于执行本发明的方法的车载处理单元。
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38.发明授权Paper web breakage prediction using bootstrap aggregation of classification and regression trees 失效使用分类和回归树的引导聚合的纸网断裂预测公开(公告)号：US06498993B1
公开(公告)日：2002-12-24
申请号：US09583154
申请日：2000-05-30
IPC分类号： G01N1908
CPC分类号： G06K9/036 , D21F7/04 , G01N33/346 , G06K9/6217
摘要： A system and method for predicting web breaks in a paper machine. Principal components analysis and an aggregated classification and regression tree (CART) model are used to predict web break sensitivity from sensor measurements taken from the paper machine.
摘要翻译： 一种用于预测造纸机中的卷筒纸断裂的系统和方法。 主成分分析和聚合分类和回归树（CART）模型用于通过从造纸机获取的传感器测量来预测卷筒纸断裂敏感性。
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公开(公告)号：US6141648A
公开(公告)日：2000-10-31
申请号：US118188
申请日：1998-07-17
CPC分类号： G06Q30/06 , G06Q30/0206
摘要： A computer-implemented method for estimating a dollar per square foot value of a subject property. A set of properties comparable to the subject property are retrieved. The comparable properties are characterized by a plurality of common attributes each having a respective value. The plurality of common attributes include distance from the subject property, sale price, and living area. The distance of the comparable properties to the subject property are rated on a fuzzy preference scale indicating desirable and tolerable deviations from an ideal match with the subject property. Each evaluation generates a weighted preference. The sale price and the living area from each of the comparable properties are then aggregated with the weighted preference for that comparable into a dollar per square foot estimate of the subject property.
摘要翻译： 用于估计主体财产每平方英尺价值的计算机实现的方法。 检索与主题属性相当的一组属性。 可比较的性质的特征在于具有各自具有相应值的多个共同属性。 多个共同属性包括与主体财产的距离，销售价格和生活区域。 可比较的属性与主体属性的距离在模糊偏好量表上进行评级，表示与主题属性的理想匹配的期望和可容忍的偏差。 每个评估产生加权偏好。 然后将每个可比房地产的售价和生活区域与加权偏好相结合，以每平方英尺估算的主题财产相当于一美元。
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40.发明授权System for rule-based insurance underwriting suitable for use by an automated system 有权适用于自动化系统使用的基于规则的保险承保系统公开(公告)号：US08793146B2
公开(公告)日：2014-07-29
申请号：US10171575
申请日：2002-06-17
申请人： Piero Patrone Bonissone , Richard Paul Messmer , William Michael Durham , Dan Yang , Marc Pavese , Diane Marie Russell
发明人： Piero Patrone Bonissone , Richard Paul Messmer , William Michael Durham , Dan Yang , Marc Pavese , Diane Marie Russell
摘要： A system for at least a partial underwriting of insurance policies is described. Various rules are created, along with a degree of satisfaction for each rule. Rules may be directed toward various insurance underwriting components (e.g., cholesterol levels, blood pressure, etc.). Based on the degree of satisfaction for each rule, a component may be assigned to a category. Based on the category for each component, the insurance application may be assigned an underwriting category.
摘要翻译： 描述了至少部分承保保险单的制度。 创建了各种规则，以及每个规则的满足程度。 规则可以针对各种保险承保部件（例如，胆固醇水平，血压等）。 根据每个规则的满足程度，组件可能被分配到一个类别。 根据每个组件的类别，保险申请可能被分配一个承保类别。
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