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公开(公告)号：US08645019B2
公开(公告)日：2014-02-04
申请号：US12964230
申请日：2010-12-09
CPC分类号： G05B23/0278
摘要： A method and system for comparing and merging fault models which are derived from different data sources. Two or more fault models are first represented as bipartite weighted graphs, which define correlations between failure modes and symptoms. The nodes of the graphs are compared to find failure modes and symptoms which are the same even though the specific terminology may be different. A graph matching method is then used to compare the graphs and determine which failure mode and symptom correlations are common between them. Finally, smoothing techniques and domain expert knowledge are used to merge and update the fault models, producing an integrated fault model which can be used by onboard vehicle systems, service facilities, and others.
摘要翻译： 用于比较和合并来自不同数据源的故障模型的方法和系统。 首先将两个或更多个故障模型表示为二分加权图，其定义故障模式和症状之间的相关性。 将图的节点进行比较以找出相同的故障模式和症状，即使特定的术语可能不同。 然后使用图匹配方法来比较图，并确定它们之间的故障模式和症状相关性。 最后，使用平滑技术和领域专家知识来合并和更新故障模型，生成可由车载系统，服务设施等使用的集成故障模型。
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公开(公告)号：US08463485B2
公开(公告)日：2013-06-11
申请号：US12943261
申请日：2010-11-10
申请人： Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Soumen De , Sugato Chakrabarty , Rahul Chougule , Pulak Bandyopadhyay , Steven W. Holland
发明人： Mark N. Howell , Mutasim A. Salman , Xidong Tang , Yilu Zhang , Soumen De , Sugato Chakrabarty , Rahul Chougule , Pulak Bandyopadhyay , Steven W. Holland
IPC分类号： G01M17/00
CPC分类号： G06Q10/0639
摘要： A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.
摘要翻译： 提供了一种利用先前服务车辆的维修数据来增强服务诊断的方法。 从存储器存储装置获得先前服务车辆的维修数据。 服务数据被编译成服务诊断代码数据集和服务人工代码数据集。 服务诊断码数据集和服务人工代码数据集分为电子数据表。 在电子数据表中形成各种组合。 为电子数据表中的每个组合确定聚合计数。 识别与诊断代码或服务劳动代码中的多于一个的相关性的各个诊断代码或相应的服务劳工代码。 响应于分析各个组合，修改用于修理车辆的维修程序中的至少一个或用于识别故障的相应服务诊断代码。
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公开(公告)号：US07899761B2
公开(公告)日：2011-03-01
申请号：US11113962
申请日：2005-04-25
IPC分类号： G06F15/18
CPC分类号： G06K9/6297 , G05B23/0232 , G06K9/6219
摘要： Disclosed herein are a system and method for trend prediction of signals in a time series using a Markov model. The method includes receiving a plurality of data series and input parameters, where the input parameters include a time step parameter, preprocessing the plurality of data series according to the input parameters, to form binned and classified data series, and processing the binned and classified data series. The processing includes initializing a Markov model for trend prediction, and training the Markov model for trend prediction of the binned and classified data series to form a trained Markov model. The method further includes deploying the trained Markov model for trend prediction, including outputting trend predictions. The method develops an architecture for the Markov model from the data series and the input parameters, and disposes the Markov model, having the architecture, for trend prediction.
摘要翻译： 这里公开了使用马尔可夫模型的时间序列中的信号趋势预测的系统和方法。 该方法包括接收多个数据序列和输入参数，其中输入参数包括时间步长参数，根据输入参数对多个数据序列进行预处理，以形成分类和分类数据序列，并处理分类和分类数据 系列。 该处理包括初始化用于趋势预测的马尔科夫模型，并训练马尔可夫模型用于仓位和分类数据序列的趋势预测，形成训练马尔可夫模型。 该方法还包括部署用于趋势预测的经过训练的马尔可夫模型，包括输出趋势预测。 该方法从数据系列和输入参数开发了Markov模型的架构，并将具有架构的马尔科夫模型用于趋势预测。
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24.发明申请INTEGRATED DIAGNOSIS AND PROGNOSIS SYSTEM AS PART OF THE CORPORATE VALUE CHAIN 有权综合诊断和预防系统作为企业价值链的一部分公开(公告)号：US20100191414A1
公开(公告)日：2010-07-29
申请号：US12362364
申请日：2009-01-29
申请人： Mutasim A. Salman , Pulak Bandyopadhyay , Sugato Chakrabarty , Rahul Chougule , Sabyasachi Bhattacharya , Soumen De , Debprakash Patnaik , Andrea M. Simon , Steven W. Holland , Yuen-Kwok Chin , Xiaodong Zhang , Yilu Zhang
发明人： Mutasim A. Salman , Pulak Bandyopadhyay , Sugato Chakrabarty , Rahul Chougule , Sabyasachi Bhattacharya , Soumen De , Debprakash Patnaik , Andrea M. Simon , Steven W. Holland , Yuen-Kwok Chin , Xiaodong Zhang , Yilu Zhang
CPC分类号： G06Q10/06
摘要： An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.
摘要翻译： 一种综合诊断和预后系统，用于收集车辆生命周期中的车辆信息及其发展。 系统将收集的车辆信息提供给供应商管理，产品开发管理，服务/经销商管理，客户关系部门和生产设备，利用这些信息为现有车辆，车队或未来车辆采取某些行动，以提高车辆的可靠性， 质量。
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公开(公告)号：US20100030357A1
公开(公告)日：2010-02-04
申请号：US12181544
申请日：2008-07-29
CPC分类号： G06Q10/06
摘要： Manufacturing facility process optimization includes monitoring communication signals within a facility device network, analyzing work station specific patterns in the communication signals, developing operational dependencies for work stations based upon the work station specific patterns, and predictively evaluating impacts to the work stations of the proposed configuration of the manufacturing facility process based upon the operational dependencies.
摘要翻译： 制造设备过程优化包括监视设备设备网络内的通信信号，分析通信信号中的工作站特定模式，基于工作站特定模式开发工作站的操作依赖性，以及预测性地评估对所提出的配置对工作站的影响 基于操作依赖性的制造设备过程。
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公开(公告)号：US20060047457A1
公开(公告)日：2006-03-02
申请号：US11203819
申请日：2005-08-15
申请人： John Agapiou , Robert Aas , Pulak Bandyopadhyay
发明人： John Agapiou , Robert Aas , Pulak Bandyopadhyay
IPC分类号： G06F19/00
CPC分类号： G01B21/04
摘要： A system, method, and apparatus are provided for prioritizing the measurements made on manufactured parts while maintaining specified part quality standards. According to the method, system and apparatus, the process used by the CMM is modified so that the number of measurements made is reduced in accordance with the results of the analysis provided herein. A CMM apparatus is modified in accordance with the analysis results. A method for part measurement prioritization in a measuring system and method includes describing a set of features to be measured on a plurality of substantially identical parts, separating the set of features into sensitive features and non-sensitive features, dividing the non-sensitive features into a plurality of groups, and prioritizing the part measurements to measure the sensitive features and provide alternating measurements of the non-sensitive features.
摘要翻译： 提供了一种系统，方法和装置，用于在保持指定的部件质量标准的同时对制造的部件进行的测量进行优先级排序。 根据该方法，系统和装置，修改由CMM使用的过程，以便根据本文提供的分析结果减少所测量的数量。 根据分析结果修改CMM装置。 在测量系统和方法中的部分测量优先级的方法包括描述在多个基本相同的部分上要测量的一组特征，将特征集合分离成敏感特征和非敏感特征，将非敏感特征分成 多个组，并且优先考虑部分测量以测量敏感特征并提供非敏感特征的交替测量。
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公开(公告)号：US4784534A
公开(公告)日：1988-11-15
申请号：US37660
申请日：1987-04-13
CPC分类号： B23D37/005 , B23D43/02 , Y10T407/15 , Y10T407/1685 , Y10T82/19
摘要： An improved cutting tooth configuration in which, unlike the conventional, straight line tool pattern with its constant tool rise, each tooth is incrementally advanced relative to the prior tooth by an amount that progressively decreases. This accounts for the variations in reaction force on the cutting teeth caused by workpiece deflections, so that the net thickness of material removed by each cutting tooth remains relatively constant. Instability and variation in the cutting force are thereby avoided, and tool wear is decreased.
摘要翻译： 一种改进的切割齿构造，其中与常规的具有恒定刀具上升的直线工具图案不同，每个齿相对于先前的齿逐渐递增一个逐渐减小的量。 这考虑了由工件偏转引起的对切削齿的反作用力的变化，使得由每个切削齿移除的材料的净厚度保持相对恒定。 因此避免了切割力的不稳定性和变化，并且减少了工具磨损。
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公开(公告)号：US08676432B2
公开(公告)日：2014-03-18
申请号：US12686963
申请日：2010-01-13
申请人： Debprakash Patnaik , Pulak Bandyopadhyay , Steven W. Holland , Kootaala P. Unnikrishnan , George Paul Montgomery, Jr.
发明人： Debprakash Patnaik , Pulak Bandyopadhyay , Steven W. Holland , Kootaala P. Unnikrishnan , George Paul Montgomery, Jr.
CPC分类号： G06F17/30548 , G06F11/008
摘要： A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.
摘要翻译： 车辆故障诊断和预测系统包括被配置为从远程服务器接收分类器的计算平台，所述计算平台有形地体现用于评估从车辆控制网络接收的数据序列并将分类器应用于数据序列的计算机可执行指令，其中 分类器被配置为确定数据序列是否定义与特定故障相关联的模式。
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公开(公告)号：US08301333B2
公开(公告)日：2012-10-30
申请号：US12730883
申请日：2010-03-24
CPC分类号： G07C5/0808
摘要： Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
摘要翻译： 每当触发诊断故障代码（DTC）时，从车辆系统捕获和分析重要参数数据的系统和方法。 构建多维矩阵，其中车辆，DTC和包括矩阵三维的参数数据。 当车辆被送往经销商进行维修或通过无线数据下载时，数据矩阵中填充有来自许多不同车辆的DTC和参数数据。 时间可以作为矩阵的第四维度添加，提供特定系统或组件是否在时间上有所降低的指示。 当累积足够的数据时，数据矩阵被预处理，从数据中提取特征，并且使用各种数学技术对特征进行分类。 然后训练分类器用于诊断任何特定故障信号的根本原因，并且还提供系统健康和剩余使用寿命的预后。
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公开(公告)号：US08170861B2
公开(公告)日：2012-05-01
申请号：US12181544
申请日：2008-07-29
IPC分类号： G06F9/455
CPC分类号： G06Q10/06
摘要： Manufacturing facility process optimization includes monitoring communication signals within a facility device network, analyzing work station specific patterns in the communication signals, developing operational dependencies for work stations based upon the work station specific patterns, and predictively evaluating impacts to the work stations of the proposed configuration of the manufacturing facility process based upon the operational dependencies.
摘要翻译： 制造设备过程优化包括监视设备设备网络内的通信信号，分析通信信号中的工作站特定模式，基于工作站特定模式开发工作站的操作依赖性，以及预测性地评估对所提出的配置对工作站的影响 基于操作依赖性的制造设备过程。
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