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    SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM
    2.
    发明申请
    SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM 有权
    资产系统高级状态监测系统与方法

    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。

    SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM
    3.
    发明申请
    SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM 有权
    资产系统高级状态监测系统与方法

    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。

    System and process for a fusion classification for insurance underwriting suitable for use by an automated system
    4.
    发明授权
    System and process for a fusion classification for insurance underwriting suitable for use by an automated system 有权
    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。

    Methods and systems for managing air traffic
    5.
    发明授权
    Methods and systems for managing air traffic 有权
    管理空中交通的方法和系统

    公开(公告)号：US08942914B2

    公开(公告)日：2015-01-27

    申请号：US13032176

    申请日：2011-02-22

    申请人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    发明人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    IPC分类号： G06F19/00 ,  G08G5/00 ,  G08G5/02

    CPC分类号： G08G5/0013 ,  G08G5/0043 ,  G08G5/0082 ,  G08G5/02

    摘要： Methods and system are provided for scheduling and negotiating air traffic within an airspace surrounding an airport and scheduled to land at the airport. An air traffic control (ATC) system is used to monitor the altitudes, speeds and lateral routes of aircraft. The ATC system generates a scheduled time-of-arrival (STA) at one or more meter fix points associated with the airport, the STA is stored, and data is received or inferred with the ATC system for at least a first of the aircraft, including a minimum fuel-cost speed and predicted trajectory parameters of the first aircraft based on current values of its existing trajectory parameters. Auxiliary data, including earliest and latest estimated time-of-arrival (ETAmin) and (ETAmax) at the meter fix point, STA being within/ outside ETAmin, ETAmax are generated, instructions are transmitted to the first aircraft, and the STA is updated for each aircraft stored in a queue.

    摘要翻译： 提供方法和系统，用于在机场周围的空域内安排和谈判空中交通，并计划在机场降落。 空中交通管制（ATC）系统用于监测飞机的高度，速度和侧向航路。 ATC系统在与机场相关联的一个或多个仪表固定点处产生预定的到达时间（STA），STA被存储，并且用ATC系统接收或推断用于至少第一飞行器的数据， 包括基于其现有轨迹参数的当前值的最小燃料成本速度和第一飞机的预测轨迹参数。 产生辅助数据，包括在仪表固定点的最早和最近的估计到达时间（ETAmin）和（ETAmax），在ETAmin内/ ETAmin内的STA，ETAmax，指令被发送到第一飞行器，并且STA被更新 对于存储在队列中的每架飞机。

    Methods and systems for managing air traffic
    6.
    发明授权
    Methods and systems for managing air traffic 有权
    管理空中交通的方法和系统

    公开(公告)号：US08606491B2

    公开(公告)日：2013-12-10

    申请号：US13032101

    申请日：2011-02-22

    申请人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    发明人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    IPC分类号： G08G5/00 ,  G08G5/04

    CPC分类号： G08G5/0043 ,  G06Q10/047 ,  G06Q10/06 ,  G06Q50/30

    摘要： Methods and systems suitable for negotiating air traffic trajectory modification requests received from multiple aircraft that each has trajectory parameters. The methods include transmitting from at least a first aircraft a first trajectory modification request to alter the altitude, speed and/or lateral route thereof. A first conflict assessment is then performed to determine if the first trajectory modification request poses a conflict with the altitudes, speeds and lateral routes of other aircraft. If a conflict is not identified, the first trajectory modification request is granted and the first aircraft is notified of the first trajectory modification request being granted. Alternatively, if a conflict is identified, the first trajectory modification request is not granted and the first aircraft is notified thereof. If the first trajectory modification request was not granted, the first trajectory modification request is placed in a queue, which is periodically processed to perform subsequent conflict assessments.

    摘要翻译： 适用于协商从多台飞机接收的空中交通轨迹修改请求的方法和系统，每个航空器具有轨迹参数。 所述方法包括从至少第一飞行器发送第一轨迹修改请求以改变其高度，速度和/或横向路线。 然后执行第一冲突评估以确定第一轨迹修改请求是否与其他飞行器的高度，速度和侧向路线形成冲突。 如果没有识别到​​冲突，则授予第一轨迹修改请求，并且向第一飞机通知被授予的第一轨迹修改请求。 或者，如果确定了冲突，则未授予第一轨迹修改请求，并且通知第一飞行器。 如果未授予第一轨迹修改请求，则将第一轨迹修改请求放置在队列中，该队列被周期性地处理以执行随后的冲突评估。

    METHODS AND SYSTEMS FOR MANAGING AIR TRAFFIC
    7.
    发明申请
    METHODS AND SYSTEMS FOR MANAGING AIR TRAFFIC 有权
    管理空中交通的方法和系统

    公开(公告)号：US20120215435A1

    公开(公告)日：2012-08-23

    申请号：US13032176

    申请日：2011-02-22

    申请人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    发明人： Rajesh Venkat Subbu ,  Feng Xue ,  Mauricio Castillo-Effen ,  Joel Kenneth Klooster ,  Joachim Karl Hochwarth ,  Sergio Torres ,  Weiwei Chen

    IPC分类号： G08G5/00

    CPC分类号： G08G5/0013 ,  G08G5/0043 ,  G08G5/0082 ,  G08G5/02

    摘要： Methods and systems scheduling and negotiating air traffic within an airspace surrounding an airport and scheduled to land at the airport. An air traffic control (ATC) system is used to monitor the altitudes, speeds and lateral routes of aircraft as they enter the airspace. The ATC system generates a scheduled time-of-arrival (STA) for each aircraft at one or more meter fix points associated with the airport, the STA for each aircraft is stored, and data is received or inferred with the ATC system for at least a first of the aircraft, including a minimum fuel-cost speed and predicted trajectory parameters of the first aircraft based on current values of its existing trajectory parameters. Auxiliary data, including earliest and latest estimated time-of-arrival ETAmin and ETAmax at the meter fix point, are generated for the first aircraft using the predicted trajectory parameters. The ATC system determines whether the STA of the first aircraft is in or outside an ETA range bounded by its ETAmin and ETAmax. Instructions are transmitted to the first aircraft to ensure its arrival at the meter fix point at the STA or the ETAmin of the first aircraft, and the STA is updated for each aircraft stored in the queue.

    摘要翻译： 方法和系统安排和谈判机场周围空域内的空中交通，并计划在机场降落。 空中交通管制（ATC）系统用于监控飞机进入空域时的高度，速度和侧向航路。 ATC系统在与机场相关联的一个或多个仪表固定点处为每个飞行器生成预定的到达时间（STA），存储每个飞行器的STA，并且至少与ATC系统接收或推断数据 基于现有轨迹参数的当前值，飞行器中的第一个，包括最低燃料成本速度和第一架飞机的预测轨迹参数。 使用预测的轨迹参数为第一架飞机生成辅助数据，包括最早和最近的估计到达时间ETAmin和仪表固定点的ETAmax。 ATC系统确定第一架飞机的STA是否处于由其ETAmin和ETAmax所限定的ETA范围之内或之外。 指令被发送到第一台飞机，以确保其到达STA的第一台飞机的米座固定点或第一架飞机的ETAmin，并为存储在队列中的每架飞机更新STA。

    System and method for advanced condition monitoring of an asset system
    10.
    发明授权
    System and method for advanced condition monitoring of an asset system 有权
    资产系统高级状态监测系统和方法

    公开(公告)号：US07756678B2

    公开(公告)日：2010-07-13

    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。