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公开(公告)号：US08996235B2
公开(公告)日：2015-03-31
申请号：US13295170
申请日：2011-11-14
Applicant: Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay , Pattada A. Kallappa , Robert J. Casper , Jeremy Krall , Joseph M. Martinez , Brian W. Quinn
Inventor： Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay , Pattada A. Kallappa , Robert J. Casper , Jeremy Krall , Joseph M. Martinez , Brian W. Quinn
CPC classification number: G05B23/0278
Abstract: A vehicle repair assist system for repairing a vehicle fault in a vehicle. A symptom input module is provided for entering vehicle symptom information relating to the fault. A diagnostic code module retrieves diagnostic trouble codes from the vehicle. The diagnostic trouble codes are generated in response to a fault occurrence. A knowledge-based fault module identifies potential causes of the vehicle fault based on at least one of the symptom information and diagnostic trouble codes. A repair assistant module identifies recommended repair parts and repair procedures for repairing the cause of the vehicle fault. The repair assistant module communicates with the knowledge-based fault module for obtaining a prioritized listing of the recommended repair parts and repair procedures for repairing the vehicle fault.
Abstract translation: 一种用于修理车辆中的车辆故障的车辆修理辅助系统。 提供症状输入模块，用于输入与故障相关的车辆症状信息。 诊断代码模块从车辆检索诊断故障代码。 诊断故障代码是根据故障发生而产生的。 基于知识的故障模块基于症状信息和诊断故障代码中的至少一个来识别车辆故障的潜在原因。 维修辅助模块识别修理车辆故障原因的推荐维修部件和修理程序。 维修辅助模块与基于知识的故障模块进行通信，以获得修复车辆故障的推荐维修部件和维修程序的优先列表。
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公开(公告)号：US20130124032A1
公开(公告)日：2013-05-16
申请号：US13295170
申请日：2011-11-14
Applicant: Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay , Pattada A. Kallappa , Robert J. Casper , Jeremy Krall , Joseph M. Martinez , Brian W. Quinn
Inventor： Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay , Pattada A. Kallappa , Robert J. Casper , Jeremy Krall , Joseph M. Martinez , Brian W. Quinn
IPC: G06F7/00
CPC classification number: G05B23/0278
Abstract: A vehicle repair assist system for repairing a vehicle fault in a vehicle. A symptom input module is provided for entering vehicle symptom information relating to the fault. A diagnostic code module retrieves diagnostic trouble codes from the vehicle. The diagnostic trouble codes are generated in response to a fault occurrence. A knowledge-based fault module identifies potential causes of the vehicle fault based on at least one of the symptom information and diagnostic trouble codes. A repair assistant module identifies recommended repair parts and repair procedures for repairing the cause of the vehicle fault. The repair assistant module communicates with the knowledge-based fault module for obtaining a prioritized listing of the recommended repair parts and repair procedures for repairing the vehicle fault.
Abstract translation: 一种用于修理车辆中的车辆故障的车辆修理辅助系统。 提供症状输入模块，用于输入与故障相关的车辆症状信息。 诊断代码模块从车辆检索诊断故障代码。 诊断故障代码是根据故障发生而产生的。 基于知识的故障模块基于症状信息和诊断故障代码中的至少一个来识别车辆故障的潜在原因。 维修辅助模块识别修理车辆故障原因的推荐维修部件和修理程序。 维修辅助模块与基于知识的故障模块进行通信，以获得修复车辆故障的推荐维修部件和维修程序的优先列表。
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公开(公告)号：US20120151290A1
公开(公告)日：2012-06-14
申请号：US12964230
申请日：2010-12-09
Applicant: Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay
Inventor： Satnam Singh , Steven W. Holland , Pulak Bandyopadhyay
CPC classification number: G05B23/0278
Abstract: 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.
Abstract translation: 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：US20120066301A1
公开(公告)日：2012-03-15
申请号：US12882893
申请日：2010-09-15
Applicant: Steven W. Holland
Inventor： Steven W. Holland
IPC: G06F15/16
CPC classification number: H04L67/141 , G06Q50/01 , H04L41/046 , H04L51/06 , H04L67/12 , H04L67/146 , H04W8/24
Abstract: A system and method that allow non-human autonomous agents to participate in a social internet network. The system defines the autonomous agent by a standard email address, website address, or other such identification, that allows human participants of the social network to contact the non-human autonomous agent to perform some operation through the Internet. In one non-limiting example, the non-human autonomous agent is a vehicle that allows the vehicle owner, or user, to contact the vehicle through the social network to perform some operation, such as unlocking the vehicle doors, and allow authorized participants of the social network to see the vehicle as a participant of the network to gain information therefrom, such as the location of the vehicle.
Abstract translation: 允许非人类自主代理人参与社交网络的系统和方法。 该系统通过标准电子邮件地址，网站地址或其他此类标识来定义自主代理，其允许社交网络的人参与者联系非人类自主代理以通过因特网执行一些操作。 在一个非限制性示例中，非人类自主代理是允许车主或用户通过社交网络与车辆接触以执行某些操作的车辆，例如解锁车门，并允许授权的参与者 社交网络将车辆视为网络的参与者以从其获得信息，例如车辆的位置。
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5.发明申请公开(公告)号：US20110145026A1
公开(公告)日：2011-06-16
申请号：US12635391
申请日：2009-12-10
Applicant: Satnam Singh , Steven W. Holland
Inventor： Satnam Singh , Steven W. Holland
CPC classification number: G06Q10/00 , G06Q10/063 , G06Q10/0639
Abstract: A method for verifying and improving a vehicle fault model is disclosed. The method includes analyzing the available field failure data that includes vehicle symptoms and failures for many vehicles. The method performs an analysis using the field failure data that includes using subject matter expert knowledge to determine the most significant failure modes and the most significant symptoms. The method also includes learning simulation parameters from the field failure data and simulating faults using the learned simulation parameters. The method further includes verifying and validating the fault model based on the most significant failure modes and the most significant symptoms from the what-if analysis and the faults identifies by the simulation, and using a diagnostic reasoner to analyze the revised fault model to generate estimated faults. The method then compares the estimated faults to the simulated faults to determine true detection and false alarm rates for a benefit analysis.
Abstract translation: 公开了一种用于验证和改进车辆故障模型的方法。 该方法包括分析包括许多车辆的车辆症状和故障的现场故障数据。 该方法使用包括使用主题专家知识的现场故障数据来执行分析，以确定最重要的故障模式和最重要的症状。 该方法还包括从现场故障数据学习仿真参数，并使用学习的仿真参数模拟故障。 该方法还包括基于最重要的故障模式和来自假设分析和模拟识别的故障的最重要的症状来验证和验证故障模型，并使用诊断推理器来分析修订的故障模型以产生估计 故障 然后，该方法将估计的故障与模拟故障进行比较，以确定有益分析的真实检测和误报率。
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Patent Agency Ranking
6.发明申请MINING METHODOLOGY TO ELIMINATE INAPPROPRIATE SETTING OF ERROR CONDITIONS USING OPERATING PARAMETERS 审中-公开采用操作参数消除不正确设置错误条件的采矿方法公开(公告)号：US20110144853A1
公开(公告)日：2011-06-16
申请号：US12638592
申请日：2009-12-15
Applicant: Halasya Siva Subramania , Satnam Singh , Steven W. Holland , Jason T. Davis , Tim Felke , Ravindra Patankar , Aru Narla
Inventor： Halasya Siva Subramania , Satnam Singh , Steven W. Holland , Jason T. Davis , Tim Felke , Ravindra Patankar , Aru Narla
CPC classification number: G06F11/0751 , G06F11/0739
Abstract: A system and method for reducing or eliminating built-in tests and diagnostic trouble codes that are set as a result of improper parameter values. The method includes collecting field failure data that identifies diagnostic trouble codes and parameters of the system that are used to set diagnostic trouble codes. The method transforms the collected data into a format more appropriate for human analysis and pre-processes the transferred data to identify and remove information that could bias the human analysis. The method includes plotting linear and nonlinear combinations of operation parameters, performing data mining and analysis for detecting inappropriate settings of fault codes in the pre-processed data and providing the mined data to a subject matter expert for review to determine whether a diagnostic trouble code has been issued because of improper parameters.
Abstract translation: 用于减少或消除由于不正确的参数值而设置的内置测试和诊断故障代码的系统和方法。 该方法包括收集现场故障数据，识别用于设置诊断故障代码的系统的诊断故障代码和参数。 该方法将收集的数据转换为更适合人类分析的格式，并预处理传输的数据，以识别和删除可能偏向人类分析的信息。 该方法包括绘制操作参数的线性和非线性组合，执行数据挖掘和分析，以检测预处理数据中的故障代码的不适当设置，并将开采的数据提供给主题专家以进行审查，以确定诊断故障代码是否具有 由于参数不当而被发布。
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7.发明申请公开(公告)号：US20100228423A1
公开(公告)日：2010-09-09
申请号：US12398895
申请日：2009-03-05
Applicant: MARK N. HOWELL , MUTASIM A. SALMAN , XIDONG TANG , YILU ZHANG , XIAODONG ZHANG , YUEN-KWOK CHIN , SOUMEN DE , DEBPRAKASH PATNAIK , SABYASACHI BHATTACHARYA , PULAK BANDYOPADHYAY , BALARAMA V. MURTY , ANSAF I. ALRABADY , RAMI I. DEBOUK , STEVEN W. HOLLAND , GEORGE PAUL MONTGOMERY, JR.
Inventor： MARK N. HOWELL , MUTASIM A. SALMAN , XIDONG TANG , YILU ZHANG , XIAODONG ZHANG , YUEN-KWOK CHIN , SOUMEN DE , DEBPRAKASH PATNAIK , SABYASACHI BHATTACHARYA , PULAK BANDYOPADHYAY , BALARAMA V. MURTY , ANSAF I. ALRABADY , RAMI I. DEBOUK , STEVEN W. HOLLAND , GEORGE PAUL MONTGOMERY, JR.
CPC classification number: G05B19/0428 , G05B2219/24069 , G05B2219/24216 , G05B2219/2637 , G07C5/008 , G07C5/085
Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.
Abstract translation: 一种用于增强车辆诊断和预测算法并改进车辆维护实践的系统和方法。 该方法包括从车辆部件，子系统和系统收集数据，以及将收集的数据存储在数据库中。 收集和存储的数据可以来自类似车辆或类似部件的多个来源，并且可以包括各种类型的故障代码和劳动代码以及其它信息，诸如故障数据的操作数据和物理学，它们被融合在一起。 该方法为不同车辆组件，子系统和系统生成类，并使用存储在数据库中的数据的数据挖掘技术为每个类构建特征提取器。 该方法还生成为每个类分类功能的分类器。 特征提取器和特征分类器用于确定车辆部件，子系统或系统何时发生故障状况。
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公开(公告)号：US20100030418A1
公开(公告)日：2010-02-04
申请号：US12183829
申请日：2008-07-31
Applicant: Steven W. Holland
Inventor： Steven W. Holland
CPC classification number: G06F11/008
Abstract: A system and method for predicting the occurrence of an event in a vehicle. The method includes monitoring a data stream including multi-dimensional tokens having information about one or more vehicle operating parameters. Further, the method includes the identification of a pattern of values of the one or more operating parameters in the data stream by mining the data stream using a temporal data miner, and predicting the occurrence of the event based on the correlation between the detected pattern and a pre-recorded pattern.
Abstract translation: 一种用于预测车辆中的事件发生的系统和方法。 该方法包括监视包括具有关于一个或多个车辆操作参数的信息的多维令牌的数据流。 此外，该方法包括通过使用时间数据挖掘机挖掘数据流来识别数据流中的一个或多个操作参数的值的模式，并且基于检测到的模式与检测到的模式之间的相关性来预测事件的发生 一个预先录制的模式。
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公开(公告)号：US4288852A
公开(公告)日：1981-09-08
申请号：US98260
申请日：1979-11-28
Applicant: Steven W. Holland
Inventor： Steven W. Holland
CPC classification number: G06T7/60 , G01B11/024 , G01B11/165
Abstract: Disclosed is a method and apparatus for automatic measurement of strain in a formed sheet metal sample. Prior to the forming operation, a grid of circles is imprinted on the sample and during the forming operation the circles are stretched to ellipses. The formed sample is exposed to an instrumentation camera and a digitized image of the pattern on the sample is stored in a digital computer. The computer is programmed to segment the image to distinguish the elliptical patterns from the background; to extract boundary points on an elliptical pattern and fit these points to an ellipse. Strain is determined as a function of the diameters of the fitted ellipse as well as the chord lengths of the actual pattern along the axes of the fitted ellipse.
Abstract translation: 公开了一种用于自动测量成形金属板样品中的应变的方法和装置。 在成形操作之前，将圆网格压印在样品上，并且在成形操作期间，将圆圈拉伸至椭圆。 将形成的样品暴露于仪器照相机，并将样品上的图案的数字化图像存储在数字计算机中。 计算机被编程为分割图像以区分椭圆图案与背景; 提取椭圆图案上的边界点，并将这些点拟合到椭圆。 应变根据拟合的椭圆的直径以及实际图案沿拟合的椭圆的轴线的弦长确定。
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公开(公告)号：US4105925A
公开(公告)日：1978-08-08
申请号：US777011
申请日：1977-03-14
Applicant: Lothar Rossol , Joseph T. Olsztyn , Robert Dewar , Steven W. Holland
Inventor： Lothar Rossol , Joseph T. Olsztyn , Robert Dewar , Steven W. Holland
CPC classification number: G01B11/2522 , G01B11/002 , G01B11/0691 , G01B11/28
Abstract: In order to determine the position and orientation of an object on a conveyor, two planes of light intersect at a single transverse line on the conveyor surface, the planes of light each being at an acute angle to the conveyor. A linear diode array aligned with the single line of light on the conveyor detects light from that line. An object on the conveyor moving through the line of light intercepts the light above the conveyor at positions spaced laterally from the line of light. The linear array senses only the line segments on the conveyor beyond the object boundaries. By electronic sampling of the illumination of the linear array, the object boundaries are determined and the object shape and orientation are thus detected.
Abstract translation: 为了确定物体在输送机上的位置和方位，两个光平面在输送机表面上的单个横向线相交，每个光平面与输送机成锐角。 与输送机上的单根光线对齐的线性二极管阵列检测来自该线路的光。 传送带上移动的物体穿过光线将传送带上方的光从光线横向隔开。 线性阵列只检测输送机上超过物体边界的线段。 通过对线性阵列的照明进行电子采样，确定对象边界，从而检测对象的形状和方向。
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