公开(公告)号：US20020013631A1

公开(公告)日：2002-01-31

申请号：US08898989

申请日：1997-07-23

Inventor： H. VAN DYKE PARUNAK ,  JOHN A. SAUTER ,  ALLEN C. WARD

IPC: G05B013/02

CPC classification number: G05B13/024 ,  G06Q10/0635 ,  Y10S706/919

Abstract: An apparatus for determining assignments to attributes (e.g., electrical power or overall dimensional size) of components within a system. A computerized constraint network is constructed which uses constraint agents, variable agents, and task agents in order to make assignments to the attributes of the components based upon market-based constraint optimization techniques. The attributes have variables indicative of the assignments to the attributes. Constraint data structures assist the agents in determining permissible assignments for the variables. The constraint data structures use preferential rules for determining the assignments to the variables. The preferential rules indicate which assignments for the variables of the agents produce higher utility and lower cost.

Abstract translation: 一种用于确定系统内的组件的属性（例如，电功率或整体尺寸大小）的分配的装置。 构建计算机化约束网络，其使用约束代理，可变代理和任务代理，以便基于基于市场的约束优化技术来对组件的属性进行分配。 这些属性具有指示属性赋值的变量。 约束数据结构有助于代理人确定变量的允许分配。 约束数据结构使用优先规则来确定变量的分配。 优惠规则指出代理商的变量的哪些分配产生更高的效用和更低的成本。

公开(公告)号：US20020010521A1

公开(公告)日：2002-01-24

申请号：US09848817

申请日：2001-05-03

Inventor： Harry F. Martz JR. ,  Michael S. Hamada ,  Arthur J. Koehler ,  Eric C. Berg

IPC: G06F019/00 ,  G05B013/02 ,  G06G007/48

CPC classification number: G06Q10/04 ,  G05B19/4188 ,  G05B2219/32015 ,  G05B2219/32301 ,  G05B2219/32349 ,  Y02P90/14 ,  Y02P90/24 ,  Y02P90/26 ,  Y02P90/265 ,  Y02P90/86

Abstract: The present invention includes a computer-implemented process for determining optimum configuration parameters for a buffered industrial process. A population is initialized by randomly selecting a first set of design and operation values associated with subsystems and buffers of the buffered industrial process to form a set of operating parameters for each member of the population. An availability discrete event simulation (ADES) is performed on each member of the population to determine the product-based availability of each member. A new population is formed having members with a second set of design and operation values related to the first set of design and operation values through a genetic algorithm and the product-based availability determined by the ADES. Subsequent population members are then determined by iterating the genetic algorithm with product-based availability determined by ADES to form improved design and operation values from which the configuration parameters are selected for the buffered industrial process.

Abstract translation: 本发明包括用于确定缓冲工业过程的最佳配置参数的计算机实现的过程。 通过随机选择与缓冲工业过程的子系统和缓冲器相关联的第一组设计和操作值来初始化总体，以形成每个群体成员的一组操作参数。 对群体的每个成员执行可用性离散事件模拟（ADES），以确定每个成员的基于产品的可用性。 通过遗传算法和由ADES确定的基于产品的可用性，形成了具有与第一组设计和操作值相关的第二组设计和操作值的成员。 然后通过迭代遗传算法确定随后的群体成员，该遗传算法具有由ADES确定的基于产品的可用性，以形成改进的设计和操作值，从缓冲工业过程中选择配置参数。

公开(公告)号：US20020010517A1

公开(公告)日：2002-01-24

申请号：US09883051

申请日：2001-06-15

Applicant: SIEMENS AG.

Inventor： Michael Brown ,  Lueder Heidemann ,  Karsten Schneider

IPC: G05B013/02

CPC classification number: G05B13/0265 ,  G05B13/026 ,  G05B13/048

Abstract: A system of case-based reasoning for sensor prediction in a technical process, especially in a cement kiln, method and apparatus therefore, and wherein the system provides accurate predictions of the cement kiln behavior for a limited period into the future. The invention utilizes a method of case-base-reasoning (CBR) for the task of sensor value prediction. An apparatus for implementing the method is characterized by a database (100) in which the relevant time interval data are stored, a test generator (101) and an optimisation unit (102- 104) for the selection and optimisation of the time interval data.

Abstract translation: 因此，在技术过程中特别是在水泥窑，方法和装置中的传感器预测的基于案例推理的系统，并且其中系统在将来的有限时间内提供对水泥窑行为的准确预测。 本发明利用案例推理（CBR）方法进行传感器值预测任务。 用于实现该方法的装置的特征在于存储相关时间间隔数据的数据库（100），用于选择和优化时间间隔数据的测试发生器（101）和优化单元（102-104）。

公开(公告)号：US20010037158A1

公开(公告)日：2001-11-01

申请号：US09790834

申请日：2001-02-22

Inventor： David J. Trapasso

IPC: G05B013/02

CPC classification number: G05B5/01

Abstract: A noise reduction system reduces noise associated with an input signal provided to a control system, while substantially minimizing the adverse affect on the responsiveness and stability of the control system. The noise reduction system includes a processor, a memory subsystem and processor executable code. The processor executable code causes the processor to perform a number of steps. Initially, the processor determines an input signal level of an input signal at an input of a noise reduction system. Next, the processor determines an output signal level of an output signal at an output of the noise reduction system. The processor then determines a magnitude of a difference signal which is the difference between the input signal level and the output signal level. When the magnitude of the difference signal is less than a predetermined noise limit, the input signal is provided to an input of a control system. When the magnitude of the difference signal is greater than or equal to the predetermined noise limit, the output signal is provided to the input of the control system.

Abstract translation: 降噪系统降低与提供给控制系统的输入信号相关联的噪声，同时基本上最小化对控制系统的响应性和稳定性的不利影响。 降噪系统包括处理器，存储器子系统和处理器可执行代码。 处理器可执行代码使处理器执行多个步骤。 最初，处理器在噪声降低系统的输入处确定输入信号的输入信号电平。 接下来，处理器确定噪声降低系统的输出处的输出信号的输出信号电平。 然后处理器确定作为输入信号电平和输出信号电平之差的差分信号的大小。 当差分信号的幅度小于预定的噪声极限时，输入信号被提供给控制系统的输入端。 当差信号的大小大于或等于预定噪声极限时，输出信号被提供给控制系统的输入端。

公开(公告)号：US20010028403A1

公开(公告)日：2001-10-11

申请号：US09820670

申请日：2001-03-30

Inventor： Atsushi Kanayama

IPC: G03B013/00 ,  G05B013/02 ,  G05B019/18 ,  G02B015/14

CPC classification number: H04N5/2254 ,  G02B7/102

Abstract: The control unit sets up the center and an insensitive zone of a zoom seesaw switch provided in a drive unit of an ENG lens by an electrical processing. The control unit is capable of dispensing with a mechanical adjustment of the center and the insensitive zone of the zoom seesaw switch in assembling the product, and the assembly of the product is thus simplified. On turning on a center setting switch while the zoom seesaw switch is released from the operation, an operational position of the zoom seesaw switch at that time is accurately set as the center that brings the moving rapidity of the zoom lens to zero. On setting an insensitive zone size by an insensitive zone setup device, the moving rapidity of the zoom lens becomes zero whenever the operational position of the zoom seesaw switch is within the insensitive zone. Any of these settings is carried out by a processing of a CPU.

Abstract translation: 控制单元通过电子处理设置设置在ENG透镜的驱动单元中的变焦跷跷板开关的中心和不敏感区域。 控制单元能够在组装产品时分配变焦跷跷板开关的中心和不敏感区域的机械调整，从而简化了产品的组装。 当变焦跷跷板开关从操作中解除时，打开中心设置开关，此时变焦跷跷板开关的操作位置被准确地设置为使变焦镜头的移动快速度为零的中心。 在通过不敏感区域设置设备设置不敏感区域大小时，只要变焦跷跷板开关的操作位置在不敏感区域内，变焦镜头的移动快速就变为零。 这些设置中的任何一个通过CPU的处理来执行。

公开(公告)号：US20010020194A1

公开(公告)日：2001-09-06

申请号：US09812822

申请日：2001-03-21

Applicant: Hitachi, Ltd.

Inventor： Yuji Takagi ,  Hideaki Doi ,  Makoto Ono

IPC: G05B013/02 ,  G06F019/00 ,  G01N037/00

CPC classification number: G01N21/94

Abstract: The present invention relates to a method of inspecting a product, comprising extracting defects from the product, classifying the defects on the basis of information about the extracted defects representing the analogy of the defects, extracting the feature data of the defects on the basis of the result of defect classification, and feeding back the feature data of the extracted defects for inspection; and to an inspection system comprising an inspecting means for extracting defects from the product, a defect classifying means for classifying the defects on the basis of information about the defects extracted by the inspecting means representing the analogy of the defects, and a feature data extracting means for extracting the feature data of the defects on the basis of the result of defect classification provided by the defect classifying means, characterized in that the feature data of the defects extracted by the feature data extracting means is fed back to the inspecting means for inspecting the product. The present invention relates also to a method of manufacturing a semiconductor device or the like, comprising extracting defects from the semiconductor device or the like, classifying the defects on the basis of information about the extracted defects representing the analogy of the defects, extracting the feature data of the defects on the basis of the result of defect classification, and feeding back the feature data of the extracted defects to an apparatus for manufacturing the semiconductor device or the like.

Abstract translation: 本发明涉及一种检查产品的方法，包括从产品中提取缺陷，基于关于代表缺陷类似物的提取缺陷的信息对缺陷进行分类，基于该缺陷提取缺陷的特征数据 缺陷分类结果，反馈提取缺陷的特征数据进行检查; 以及包括用于从产品中提取缺陷的检查装置的检查系统，用于根据由表示类似于缺陷的检查装置提取的缺陷的信息来分类缺陷的缺陷分类装置，以及特征数据提取装置 用于基于由缺陷分类装置提供的缺陷分类的结果来提取缺陷的特征数据，其特征在于，将由特征数据提取装置提取的缺陷的特征数据反馈到检查装置，以检查 产品。 本发明还涉及一种制造半导体器件等的方法，包括从半导体器件等中提取缺陷，基于关于表示类似于缺陷的提取缺陷的信息来分类缺陷，提取特征 基于缺陷分类的结果的缺陷的数据，并将提取的缺陷的特征数据反馈到用于制造半导体器件等的装置。

公开(公告)号：US20040254657A1

公开(公告)日：2004-12-16

申请号：US10487098

申请日：2004-08-12

Inventor： Massimiliano Petternella ,  Marco Tiberti

IPC: G05B013/02

CPC classification number: B25J9/163 ,  G05B11/32 ,  G05B2219/39366

Abstract: A single-input multi-output control system particularly useful to equally distributing the noise effects and/or the parametric variations among the multiple outputs, comprising two or more control sub-systems, each of said two or more control sub-systems having a corresponding error node (Nei) and an output (Yi) coincident with one of said multiple outputs, and an auxiliary node (Nc) adapted to connect said error nodes (Nei) with one another.

Abstract translation: 一种单输入多输出控制系统，特别适用于均匀地分配多个输出之间的噪声效应和/或参数变化，包括两个或多个控制子系统，所述两个或多个控制子系统中的每一个具有对应的 误差节点（Nei）和与所述多个输出中的一个输出一致的输出（Yi），以及适于将所述错误节点（Nei）彼此连接的辅助节点（Nc）。

公开(公告)号：US20040254656A1

公开(公告)日：2004-12-16

申请号：US10276502

申请日：2003-05-20

Inventor： Horst Wagner ,  Dirk Samuelsen ,  Ruediger Ferhmann

IPC: G05B013/02

CPC classification number: F02D11/105 ,  F02D2011/103

Abstract: A method and a device are described for filtering a variable. A first filtering arrangement is used for forming an output variable as a function of an input variable, the first filtering arrangement having at least a delaying effect. The input variable of the first filtering arrangement is corrected using a correcting variable which is obtained by starting from the input variable of the first filtering arrangement and by filtering, using a second filtering arrangement.

Abstract translation: 描述了用于过滤变量的方法和设备。 第一滤波装置用于形成作为输入变量的函数的输出变量，第一滤波装置具有至少延迟效应。 使用通过从第一滤波装置的输入变量开始并通过使用第二滤波装置进行滤波而获得的校正变量来校正第一滤波装置的输入变量。

公开(公告)号：US20040243255A1

公开(公告)日：2004-12-02

申请号：US10854374

申请日：2004-05-26

Inventor： Eric Vincent Gonzales

IPC: G05B011/01 ,  G05B013/02 ,  G06F015/00 ,  G06F015/76

CPC classification number: D06F39/005 ,  D06F2214/00

Abstract: A controller for an appliance operated by a microprocessor has a rotatable control knob mounted on a shaft that extends through an outer surface of the appliance. A disk with a plurality of apertures spaced around the circumference thereof is mounted on the inner end of the shaft such that the rotation of the control knob generates a succession of signals readable by the microprocessor. Markings around the circumference of the control knob indicate the cycles that the appliance can perform and the various stages of the cycles. Each of the markings has an indicator such as an LED associated therewith and the microprocessor is configured to successively energize the indicator adjacent the marking as the knob is turned and to indicate the indicated cycle or stage when a stage switch is activated.

Abstract translation: 由微处理器操作的器具的控制器具有安装在轴上的可旋转控制旋钮，该旋转控制旋钮延伸穿过该器具的外表面。 具有围绕其圆周间隔开的多个孔的盘安装在轴的内端上，使得控制旋钮的旋转产生由微处理器可读的一系列信号。 控制旋钮周围的标记表示设备可以执行的循环以及循环的各个阶段。 每个标记具有诸如与其相关联的LED的指示器，并且微处理器被配置为在旋钮旋转时相邻地标记标记，并且当舞台开关被激活时指示所指示的周期或舞台。

公开(公告)号：US20040199481A1

公开(公告)日：2004-10-07

申请号：US10827977

申请日：2004-04-20

Inventor： Eric Jon Hartman ,  Carsten Peterson ,  Stephen Piche

IPC: G06F017/00 ,  G06F015/00 ,  G06N003/10 ,  G05B013/02 ,  G06F015/18 ,  G06G007/00 ,  G06E003/00 ,  G06E001/00

CPC classification number: G05B13/027 ,  Y10S706/906 ,  Y10S706/914

Abstract: An optimization system is provided utilizing a Bayesian neural network calculation of a derivative wherein an output is optimized with respect to an input utilizing a stochastical method that averages over many regression models. This is done such that constraints from first principal models are incorporated in terms of prior art distributions.