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    Automatic monitoring of vibration welding equipment
    1.
    发明授权
    Automatic monitoring of vibration welding equipment 有权
    自动监测振动焊接设备

    公开(公告)号：US08858742B2

    公开(公告)日：2014-10-14

    申请号：US14065801

    申请日：2013-10-29

    Applicant: GM Global Technology Operations LLC

    Inventor： John Patrick Spicer ,  Debejyo Chakraborty ,  Michael Anthony Wincek ,  Hui Wang ,  Jeffrey A. Abell ,  Jennifer Bracey ,  Wayne W. Cai

    IPC: B32B37/00 ,  B29C65/08 ,  B06B3/00 ,  B29C65/00

    CPC classification number: B32B37/00 ,  B06B3/00 ,  B23K20/10 ,  B23K20/106 ,  B23K20/26 ,  B29C65/08 ,  B29C66/90 ,  B29C66/9121

    Abstract: A vibration welding system includes vibration welding equipment having a welding horn and anvil, a host device, a check station, and a robot. The robot moves the horn and anvil via an arm to the check station. Sensors, e.g., temperature sensors, are positioned with respect to the welding equipment. Additional sensors are positioned with respect to the check station, including a pressure-sensitive array. The host device, which monitors a condition of the welding equipment, measures signals via the sensors positioned with respect to the welding equipment when the horn is actively forming a weld. The robot moves the horn and anvil to the check station, activates the check station sensors at the check station, and determines a condition of the welding equipment by processing the received signals. Acoustic, force, temperature, displacement, amplitude, and/or attitude/gyroscopic sensors may be used.

    Abstract translation: 振动焊接系统包括具有焊接喇叭和砧座的振动焊接设备，主机设备，检查站和机器人。 机器人通过手臂将喇叭和砧座移动到检查站。 传感器，例如温度传感器，相对于焊接设备定位。 附加传感器相对于检查站定位，包括压敏阵列。 监测焊接设备状况的主机设备，当喇叭主动形成焊缝时，通过相对于焊接设备定位的传感器测量信号。 机器人将喇叭和砧座移动到检查站，激活检查站的检查站传感器，并通过处理接收到的信号来确定焊接设备的状况。 可以使用声学，力，温度，位移，幅度和/或姿态/陀螺仪传感器。

    QUALITY STATUS DISPLAY FOR A VIBRATION WELDING PROCESS
    3.
    发明申请
    QUALITY STATUS DISPLAY FOR A VIBRATION WELDING PROCESS 有权
    用于振动焊接工艺的质量状态显示

    公开(公告)号：US20130105557A1

    公开(公告)日：2013-05-02

    申请号：US13624233

    申请日：2012-09-21

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： John Patrick Spicer ,  Jeffrey A. Abell ,  Michael Anthony Wincek ,  Debejyo Chakraborty ,  Jennifer Bracey ,  Hui Wang ,  Peter W. Tavora ,  Jeffrey S. Davis ,  Daniel C. Hutchinson ,  Ronald L. Reardon ,  Shawn Utz

    IPC: B23K20/10

    CPC classification number: B23K31/125 ,  B23K20/10 ,  H01M2/26

    Abstract: A system includes a host machine and a status projector. The host machine is in electrical communication with a collection of sensors and with a welding controller that generates control signals for controlling the welding horn. The host machine is configured to execute a method to thereby process the sensory and control signals, as well as predict a quality status of a weld that is formed using the welding horn, including identifying any suspect welds. The host machine then activates the status projector to illuminate the suspect welds. This may occur directly on the welds using a laser projector, or on a surface of the work piece in proximity to the welds. The system and method may be used in the ultrasonic welding of battery tabs of a multi-cell battery pack in a particular embodiment. The welding horn and welding controller may also be part of the system.

    Abstract translation: 系统包括主机和状态投影机。 主机与一组传感器和一个焊接控制器电气通信，该控制器产生用于控制焊接喇叭的控制信号。 主机被配置为执行一种方法，从而处理感觉和控制信号，以及预测使用焊接喇叭形成的焊缝的质量状态，包括识别任何可疑焊缝。 主机然后启动状态投影机以照亮可疑焊缝。 这可能直接在使用激光投影仪的焊缝上或焊接附近的工件表面上发生。 在特定实施例中，该系统和方法可用于多单元电池组的电池接头的超声波焊接。 焊接喇叭和焊接控制器也可以是系统的一部分。

    ASSEMBLY SYSTEM CONFIGURATION
    4.
    发明申请
    ASSEMBLY SYSTEM CONFIGURATION 审中-公开
    组装系统配置

    公开(公告)号：US20160364670A1

    公开(公告)日：2016-12-15

    申请号：US14735647

    申请日：2015-06-10

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC ,  The Regents of the University of Michigan

    Inventor： Yhu-Tin Lin ,  Raymond D. Turner, III ,  Jeffrey A. Abell ,  Daniel J. Casoli ,  Patrick J. Meehan ,  Shixin Hu ,  Hui Wang ,  Sheng Yang ,  Heng Kuang

    IPC: G06Q10/06 ,  G06Q10/08

    CPC classification number: G06Q10/06316 ,  G06Q10/0633 ,  G06Q10/0875

    Abstract: A method for generating a candidate assembly system layout for an assembled product includes inputting a bill of materials including a list of components for the assembled product and determining a plurality of assembly patterns for the assembled product including a plurality of intermediate assemblies and sub-assemblies. A basic task layout is determined that includes assembly tasks for assembling the assembled product based upon a selected one of the assembly patterns. A whole task layout is determined based upon the basic task layout for the selected assembly pattern. Candidate assembly machines are selected for the whole task layout, and zoning constraints are identified for the candidate assembly machines related to assembly tasks. A candidate assembly system layout is generated based upon the whole task layout, the selected candidate assembly machines and the zoning constraints, from which a simulation model of a candidate assembly system is generated.

    Abstract translation: 一种用于生成组装产品的候选组装系统布局的方法包括输入包括组装产品的组件列表的材料清单，并且确定用于组装产品的多个组装图案，包括多个中间组件和子组件。 确定基本任务布局，其包括基于所选择的组装模式组装组装产品的组装任务。 基于所选择的装配体模式的基本任务布局来确定整个任务布局。 为整个任务布局选择候选组装机，并为与组装任务相关的候选组装机器识别分区约束。 基于整个任务布局，所选择的候选组装机器和分区约束生成候选组装系统布局，从中生成候选组装系统的仿真模型。

    BINARY CLASSIFICATION OF ITEMS OF INTEREST IN A REPEATABLE PROCESS
    6.
    发明申请
    BINARY CLASSIFICATION OF ITEMS OF INTEREST IN A REPEATABLE PROCESS 审中-公开
    可重复进程中的兴趣项目的二进制分类

    公开(公告)号：US20140236874A1

    公开(公告)日：2014-08-21

    申请号：US14264113

    申请日：2014-04-29

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Jeffrey A. Abell ,  John Patrick Spicer ,  Michael Anthony Wincek ,  Hui Wang ,  Debejyo Chakraborty

    IPC: G06N99/00

    CPC classification number: G06N99/005 ,  B23K20/10 ,  B23K20/106 ,  B23K20/12 ,  G05B1/00 ,  G05B1/01 ,  G05B1/04 ,  G05B11/00 ,  G05B11/01 ,  G05B11/011 ,  G05B19/00 ,  G05B19/02 ,  G05B19/04 ,  G05B19/18 ,  G05B23/0221

    Abstract: A system includes host and learning machines. Each machine has a processor in electrical communication with at least one sensor. Instructions for predicting a binary quality status of an item of interest during a repeatable process are recorded in memory. The binary quality status includes passing and failing binary classes. The learning machine receives signals from the at least one sensor and identifies candidate features. Features are extracted from the candidate features, each more predictive of the binary quality status. The extracted features are mapped to a dimensional space having a number of dimensions proportional to the number of extracted features. The dimensional space includes most of the passing class and excludes at least 90 percent of the failing class. Received signals are compared to the boundaries of the recorded dimensional space to predict, in real time, the binary quality status of a subsequent item of interest.

    Abstract translation: 系统包括主机和学习机。 每个机器具有与至少一个传感器电通信的处理器。 用于在可重复处理期间预测感兴趣的项目的二进制质量状态的指令被记录在存储器中。 二进制质量状态包括传递和失败的二进制类。 学习机器接收来自至少一个传感器的信号并识别候选特征。 从候选特征中提取特征，每个特征更加预测二进制质量状态。 提取的特征被映射到具有与提取的特征的数量成比例的数量的维数的维空间。 维空间包含大部分传递类，并排除失败类的至少90％。 将接收的信号与记录的维度空间的边界进行比较，以实时地预测随后的感兴趣的物品的二进制质量状态。

    BINARY CLASSIFICATION OF ITEMS OF INTEREST IN A REPEATABLE PROCESS
    7.
    发明申请
    BINARY CLASSIFICATION OF ITEMS OF INTEREST IN A REPEATABLE PROCESS 有权
    可重复进程中的兴趣项目的二进制分类

    公开(公告)号：US20130105556A1

    公开(公告)日：2013-05-02

    申请号：US13632670

    申请日：2012-10-01

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Jeffrey A. Abell ,  John Patrick Spicer ,  Michael Anthony Wincek ,  Hui Wang ,  Debejyo Chakraborty

    IPC: B23K20/10 ,  G06F15/18

    CPC classification number: G06N99/005 ,  B23K20/10 ,  B23K20/106 ,  B23K20/12 ,  G05B1/00 ,  G05B1/01 ,  G05B1/04 ,  G05B11/00 ,  G05B11/01 ,  G05B11/011 ,  G05B19/00 ,  G05B19/02 ,  G05B19/04 ,  G05B19/18 ,  G05B23/0221

    Abstract: A system includes host and learning machines in electrical communication with sensors positioned with respect to an item of interest, e.g., a weld, and memory. The host executes instructions from memory to predict a binary quality status of the item. The learning machine receives signals from the sensor(s), identifies candidate features, and extracts features from the candidates that are more predictive of the binary quality status relative to other candidate features. The learning machine maps the extracted features to a dimensional space that includes most of the items from a passing binary class and excludes all or most of the items from a failing binary class. The host also compares the received signals for a subsequent item of interest to the dimensional space to thereby predict, in real time, the binary quality status of the subsequent item of interest.

    Abstract translation: 系统包括与相对于感兴趣的物体定位的传感器例如焊接和存储器进行电气通信的主机和学习机器。 主机执行来自内存的指令来预测项目的二进制质量状态。 学习机器从传感器接收信号，识别候选特征，并从相对于其他候选特征更加预测二进制质量状态的候选中提取特征。 学习机器将提取的特征映射到包含来自传递二进制类的大多数项目的维空间，并且从失败的二进制类中排除所有或大部分项目。 主机还将用于随后的感兴趣项目的接收信号与尺寸空间进行比较，从而实时地预测随后的感兴趣项目的二进制质量状态。

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