利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

80 条记录 (耗时 0.029 秒)

    Method and system for automated property valuation
    43.
    发明授权
    Method and system for automated property valuation 失效
    自动化物业估值的方法和系统

    公开(公告)号：US06748369B2

    公开(公告)日：2004-06-08

    申请号：US09337285

    申请日：1999-06-21

    申请人： Pratap Shankar Khedkar ,  Piero Patrone Bonissone

    发明人： Pratap Shankar Khedkar ,  Piero Patrone Bonissone

    IPC分类号： G06F1518

    CPC分类号： G06N5/048 ,  G06N3/0436

    摘要： A method and system for automating a process for valuing a property that produces an estimated value of a subject property, and a reliability assessment of the estimated value. The process is a generative artificial intelligence method that trains a fuzzy-neural network using a subset of cases from a case-base, and produces a run-time system to provide an estimate of the subject property's value. A network-based implementation of fuzzy inference is based on a system that implements a fuzzy system as a five-layer neural network so that the structure of the network can be interpreted in terms of high-level rules. The neural network is trained automatically from data. IF/THEN rules are used to map inputs to outputs by a fuzzy logic inference system. Different models for the same problem can be obtained by changing the inputs to the neuro-fuzzy network, or by varying its architecture.

    摘要翻译： 用于自动化产生对象属性的估计值的属性的评估过程的方法和系统以及估计值的可靠性评估。 该过程是一种生成人工智能方法，它使用案例基础案例的子集训练模糊神经网络，并产生一个运行时系统来提供主体属性值的估计。 模糊推理的基于网络的实现是基于将模糊系统实现为五层神经网络的系统，以便可以根据高级规则来解释网络的结构。 从数据自动训练神经网络。 IF / THEN规则用于通过模糊逻辑推理系统将输入映射到输出。 通过改变对神经 - 模糊网络的输入，或通过改变其架构，可以获得同样问题的不同模型。

    System and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller
    44.
    发明授权
    System and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller 失效
    用于为基于轨道的运输处理控制器生成燃料最优参考速度分布的系统和方法

    公开(公告)号：US06243694B1

    公开(公告)日：2001-06-05

    申请号：US08999199

    申请日：1997-12-29

    申请人： Piero Patrone Bonissone ,  Yu-To Chen ,  Pratap Shankar Khedkar ,  Paul Kenneth Houpt ,  John Lewis Schneiter

    发明人： Piero Patrone Bonissone ,  Yu-To Chen ,  Pratap Shankar Khedkar ,  Paul Kenneth Houpt ,  John Lewis Schneiter

    IPC分类号： H61F214

    CPC分类号： G05B13/0275 ,  G05B13/0265

    摘要： In this invention there is disclosed a system and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller. The fuel-optimal reference velocity profile is used to reduce the amount of fuel consumption. The fuel-optimal reference velocity profile is generated to take into account the speed that a train must travel at in order to satisfy a given schedule, speed constraints that will minimize fuel consumption, and recommended speeds that will prevent train breaks, derailments, cargo damage and violation of safety rules. In this invention, the fuel-optimal reference velocity profile is generated by using a genetic algorithm.

    摘要翻译： 在本发明中，公开了一种用于产生用于基于轨道的运输处理控制器的燃料最优参考速度分布的系统和方法。 燃料最佳参考速度曲线用于减少燃料消耗量。 产生燃料最佳参考速度曲线，以考虑列车必须行驶的速度，以满足给定的时间表，将最小化燃料消耗的速度限制以及将阻止列车断开，脱轨，货物损坏的推荐速度 违反安全规定。 在本发明中，通过使用遗传算法产生燃料最优参考速度分布。

    System and method for advanced condition monitoring of an asset system
    47.
    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。

    Paper web breakage prediction using principal components analysis and classification and regression trees
    49.
    发明授权
    Paper web breakage prediction using principal components analysis and classification and regression trees 失效
    纸网断裂预测采用主成分分析和分类回归树

    公开(公告)号：US06466877B1

    公开(公告)日：2002-10-15

    申请号：US09583151

    申请日：2000-05-30

    申请人： Yu-To Chen ,  Piero Patrone Bonissone

    发明人： Yu-To Chen ,  Piero Patrone Bonissone

    IPC分类号： G01N1908

    CPC分类号： G01N33/346

    摘要： A system and method for predicting web breaks in a paper machine. Principal components analysis (PCA) and classification and regression tree (CART) modeling are used to predict web break sensitivity from sensor measurements taken from the paper machine. Also, the CART model is used to isolate the root cause of the predicted web break sensitivity.

    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（PCA）和分类和回归树（CART）建模用于从造纸机的传感器测量中预测卷筒纸断裂敏感性。 此外，CART模型用于隔离预测的Web Break灵敏度的根本原因。

    System and method for paper web time-break prediction
    50.
    发明授权
    System and method for paper web time-break prediction 失效
    纸幅时间戳预测的系统和方法

    公开(公告)号：US06405140B1

    公开(公告)日：2002-06-11

    申请号：US09583155

    申请日：2000-05-30

    申请人： Yu-To Chen ,  Piero Patrone Bonissone

    发明人： Yu-To Chen ,  Piero Patrone Bonissone

    IPC分类号： G01B530

    CPC分类号： D21G9/0009

    摘要： A system and method for generating a time-to-break prediction for a paper web in a paper machine. This invention uses principal components analysis, neuro-fuzzy systems and trending analysis to form a model for predicting the time-to-break of the paper web from sensor measurements of paper machine process variables. The model is used to isolate the root cause of the predicted web break.

    摘要翻译： 一种用于在造纸机中生成纸幅的时间间隔预测的系统和方法。 本发明使用主成分分析，神经模糊系统和趋势分析，形成一个模型，用于通过纸机过程变量的传感器测量来预测纸幅的断裂时间。 该模型用于隔离预测的Web Break的根本原因。