公开(公告)号：US07219068B2

公开(公告)日：2007-05-15

申请号：US10043696

申请日：2002-01-11

申请人： Carolyn Zelek ,  John King ,  Mahesh Himatlal Vora ,  Nathan R. Soderborg ,  Toni Brockers

发明人： Carolyn Zelek ,  John King ,  Mahesh Himatlal Vora ,  Nathan R. Soderborg ,  Toni Brockers

IPC分类号： G06F17/30

CPC分类号： G06Q10/04 ,  G06Q30/0201

摘要： A method and computer-implemented system for optimizing a product. Based on the “voice of the customer”, aspects of the product that are critical to the customer satisfaction, and target values, therefore, are identified. Aspects are characterized in terms of their contributing factors. Each contributing factor is characterized in a transfer function in terms of control and noise factors impacting the contributing factors. Contributing factors are optimized during product design by shifting nominal design values for control factors with respect to the transfer function such that target contributing factors are attained with minimum variability due to existing noises and variability in control. Where target values cannot be obtained through design optimization, conventional methods of manufacturing optimization are implemented. The extent to which the target values are attained and maintained over the life of the product are assessed.

摘要翻译： 一种用于优化产品的方法和计算机实现的系统。 基于“客户的声音”，确定了对客户满意度至关重要的产品和目标价值的方面。 方面的特点是其贡献因素。 每个贡献因素的特征在于影响影响因素的控制和噪声因素的传递函数。 在产品设计过程中，通过移动控制因素的标称设计值，对传递函数进行优化，从而实现由于现有噪声和控制变异性而导致最小变异性的目标贡献因子。 如果通过设计优化无法获得目标值，则实施制造优化的常规方法。 评估在产品使用寿命内获得和维持目标值的程度。

公开(公告)号：US06931366B2

公开(公告)日：2005-08-16

申请号：US09681398

申请日：2001-03-29

申请人： Steve C. Wang ,  Agus Sudjianto ,  David John Buche ,  Dingjun Li ,  Mahesh Himatial Vora ,  Nathan R. Soderborg ,  Siyuan Jiang ,  Xiaoping Liu

发明人： Steve C. Wang ,  Agus Sudjianto ,  David John Buche ,  Dingjun Li ,  Mahesh Himatial Vora ,  Nathan R. Soderborg ,  Siyuan Jiang ,  Xiaoping Liu

IPC分类号： G06F17/50 ,  G06F7/60 ,  G06F17/10 ,  G06F101/00

CPC分类号： G06F17/5009 ,  G06F2217/10

摘要： A system 10, which receives a computer, aided model or design 18 and which probabilistically analyzes the model 18 by use of a modified Latin Hypercube sampling technique and combined MARS and Kriging simulation methodologies, thereby allowing a simulation to be conducted at a most probable point of operation and allowing products having desired characteristics and attributes to be created.

摘要翻译： 一种系统10，其接收计算机，辅助模型或设计18，并且通过使用经修改的拉丁超立方体采样技术和组合的MARS和克里金模拟方法概率地分析模型18，从而允许在最可能的点进行模拟 的操作，并允许产生具有期望的特性和属性的产品。

公开(公告)号：US5305635A

公开(公告)日：1994-04-26

申请号：US42257

申请日：1993-04-02

申请人： John V. James ,  Nathan R. Soderborg ,  Timothy M. Feldkamp

发明人： John V. James ,  Nathan R. Soderborg ,  Timothy M. Feldkamp

IPC分类号： F02D45/00 ,  F02P17/12 ,  G01M15/04 ,  G01M15/11 ,  G01M15/00

CPC分类号： G01M15/11 ,  F02P17/12

摘要： System and method for filtering a misfire data stream having numerical values that indicate whether a firing of a cylinder was a misfire or a proper firing, to yield an optimum measurement misfire-rate for accurate and rapid determination of whether an engine is misfiring beyond a threshold level. The method includes measuring firings of the cylinder during operation of the engine to produce measured cylinder firing signals, processing the measured cylinder firing signals received to produce a current misfire detection data stream of first and second logic signals, wherein the first logic signals indicate a current misfire condition and the second logic signals indicate a current normal firing of the engine, combining the current misfire detection data stream with previously detected and stored measured data representing an engine misfire rate, replacing the previously stored measured data by the combined current and previously stored data to produce a misfire rate output measurement, storing threshold values, comparing the combined current and previously stored data and the stored threshold values, generating an actuation signal if the combined current and previously stored data signal exceeds the stored threshold values, and indicating a misfire condition in the engine upon receiving the actuation signal.

摘要翻译： 用于过滤具有数值的数值的失火数据流的系统和方法，其具有指示气缸的点火是否失火或正确点火，以产生最佳测量失火速率，以准确和快速地确定发动机是否发动机超出阈值 水平。 该方法包括在发动机操作期间测量气缸的发射以产生测量的气缸点火信号，处理接收的测量的气缸点火信号以产生第一和第二逻辑信号的当前失火检测数据流，其中第一逻辑信号指示电流 第二逻辑信号表示发动机的当前正常点火，将当前的失火检测数据流与表示发动机失火速率的先前检测和存储的测量数据组合，通过组合的当前和先前存储的数据代替先前存储的测量数据 产生失火速率输出测量，存储阈值，比较组合的电流和先前存储的数据和存储的阈值，如果组合的电流和预先存储的数据信号超过存储的阈值，则产生致动信号，并指示失火条件 在发动机上 停止致动信号。

公开(公告)号：US5361628A

公开(公告)日：1994-11-08

申请号：US100794

申请日：1993-08-02

申请人： Kenneth A. Marko ,  Bruce D. Bryant ,  Nathan R. Soderborg

发明人： Kenneth A. Marko ,  Bruce D. Bryant ,  Nathan R. Soderborg

IPC分类号： F02B75/02 ,  G01M15/05 ,  G01M15/00

CPC分类号： F02D41/22 ,  G01M15/05 ,  F02B2075/027 ,  F02D2041/288 ,  F02D41/1404 ,  F02D41/1405 ,  Y02T10/40 ,  Y10S706/913

摘要： A system and method for processing test measurements collected from an internal combustion engine that is cold-tested for diagnostic purposes. Test measurements are collected from an engine. The test measurements are "pre-processed" by filtering and subsampling techniques so that Principle Component Analysis can be applied to condense the quantity of test measurements while still retaining a statistically accurate indication of a majority of the original measurements. The pre-processed test measurements are then passed through one or more classifiers including: a Neural Network classifier, a Fuzzy Logic classifier, a cluster-based classifier (or "Spherical" classifier) and a Genetic Program classifier. Results from these classifiers can be used to obtain a verdict about an engine (i.e., whether the engine is "normal" or "faulty").

摘要翻译： 用于处理从内燃机收集的测试测量的系统和方法，该内燃机经过冷测试用于诊断目的。 从发动机收集测试测量值。 测试测量通过滤波和子采样技术进行“预处理”，以便可以应用原理分量分析来缩小测试测量的数量，同时仍然保留大部分原始测量的统计学准确指示。 预处理的测试测量然后通过一个或多个分类器，包括：神经网络分类器，模糊逻辑分类器，基于簇的分类器（或“球形”分类器）和遗传程序分类器。 可以使用这些分类器的结果来获得关于发动机的判定（即，发动机是“正常”还是“有故障”）。