HOLE SAW MANDREL
    11.
    发明申请
    HOLE SAW MANDREL 审中-公开
    孔声曼

    公开(公告)号:US20070071565A1

    公开(公告)日:2007-03-29

    申请号:US11536287

    申请日:2006-09-28

    IPC分类号: B23B51/04

    摘要: The present invention is directed at a hole saw mandrel which is used to connect a drill with a hole saw. The mandrel includes a tool end for connecting the hole mandrel with the drill; a hole cutting end including a hole saw receiving means and a drill bit receiving means; and a central portion connecting the tool end to the hole cutting end; wherein the hole saw receiving means comprising a collar which is independent of the central portion so that no play is experienced between a hole saw and the hole saw mandrel when the hole saw is in use. The hole saw mandrel may also include an ejector to eject a slug from the hole saw after a hole has been cut.

    摘要翻译: 本发明涉及一种用于将钻头与孔锯连接的孔锯芯棒。 心轴包括用于将孔心与钻头连接的工具端; 一个孔切割端,包括孔眼接收装置和钻头接收装置; 以及将工具端连接到孔切割端的中心部分; 其中所述孔锯接收装置包括独立于所述中心部分的轴环,使得当所述孔锯在使用中时,在孔锯和所述孔锯心轴之间不会发生游隙。 孔锯心轴还可以包括喷射器,以在孔被切割之后从孔锯中弹出块塞。

    Tool case
    12.
    外观设计

    公开(公告)号:USD517317S1

    公开(公告)日:2006-03-21

    申请号:US29217665

    申请日:2004-11-19

    申请人: Satnam Singh

    设计人: Satnam Singh

    Bed bug trap
    14.
    发明授权
    Bed bug trap 有权
    虫虫陷阱

    公开(公告)号:US08904701B2

    公开(公告)日:2014-12-09

    申请号:US13437032

    申请日:2012-04-02

    IPC分类号: A01M1/10 A01M1/02 A01M1/14

    摘要: A bed bug trap includes heat, carbon dioxide and/or semiochemicals (pheromones and/or kairomones), to attract and trap bed bugs. The trap may be combined with the appearance and/or function of another appliance, such as an air freshener. The release of semiochemicals may be combined with the release of air freshening compositions. The bed bug trap may provide one attraction mode, or two attraction modes, namely one which uses heat, carbon dioxide and/or kairomones to attract bed bugs seeking a meal, and the other which uses pheromones to attract bed bugs seeking a safe harbor, i.e. a hiding place. The bed bug trap may be combined with a wide variety of appliances, such as air fresheners, alarm clocks, clock radios, humidifiers, desk or table lamps, power bars, etc.

    摘要翻译: 床虫陷阱包括热,二氧化碳和/或信息素(信息素和/或光晕),以吸引和捕获臭虫。 陷阱可以与另一个设备(例如空气清新器)的外观和/或功能相结合。 化学物质的释放可与空气清新组合物的释放相结合。 床虫陷阱可以提供一种吸引模式或两种吸引模式,即使用热,二氧化碳和/或开心剂吸引臭虫寻求膳食的吸引模式,另一种使用信息素来吸引寻找安全港的臭虫, 即隐藏的地方。 臭虫陷阱可以与各种设备结合,例如空气清新剂,闹钟,时钟收音机,加湿器,桌子或台灯,电源杆等。

    BED BUG DETECTION AND CONTROL
    15.
    发明申请
    BED BUG DETECTION AND CONTROL 审中-公开
    BED BUG检测和控制

    公开(公告)号:US20140075825A1

    公开(公告)日:2014-03-20

    申请号:US13824983

    申请日:2011-09-20

    IPC分类号: A01M1/10 A01M1/14

    摘要: A detection and/or control device (1) for bed bugs and other arthropods has at least one surface (9,10) having sufficient texture for a bed bug or other arthropod to climb, leading to a confinement area (6) having surrounding surfaces (7, 8) being sufficiently smooth that the bed bug or other arthropod cannot climb out of the confinement area. The confinement area has a preferably removable and replaceable glue pad or other such trap (16, 26, 66, 85) to trap the bed bug or other arthropod in a specific location within the confinement area. A variety of specific devices are described, including a coaster-type device (1) for placement under bed posts and the like, a frame (21) for light switches and electrical outlets, a cover (80) for heat or air conditioning air outlets, and various extruded rails (50, 52, 60) to act as barriers.

    摘要翻译: 用于床虫和其他节肢动物的检测和/或控制装置(1)具有至少一个表面(9,10),其具有足够的纹理以使床虫或其他节肢动物爬坡,导致具有周围表面的限制区域(6) (7,8)足够光滑,使床臭或其他节肢动物不能爬出约束区域。 限制区域具有优选地可移除和可更换的胶垫或其它这种捕获器(16,26,66,85),以将该臭虫或其他节肢动物捕获在限制区域内的特定位置。 描述了各种特定装置,包括用于放置在床柱等的过山车型装置(1),用于灯开关和电源插座的框架(21),用于加热或空调空气出口的盖(80) ,以及各种挤压轨道(50,52,60)以用作障碍物。

    Detecting anomalies in fault code settings and enhancing service documents using analytical symptoms
    16.
    发明授权
    Detecting anomalies in fault code settings and enhancing service documents using analytical symptoms 有权
    检测故障代码设置中的异常,并使用分析症状来增强服务文档

    公开(公告)号:US08509985B2

    公开(公告)日:2013-08-13

    申请号:US13115216

    申请日:2011-05-25

    IPC分类号: G06F17/00

    CPC分类号: G05B23/0278

    摘要: A method is provided for identifying a root cause of a fault in a serviced vehicle based on analytical symptoms. Parameter identification data associated with identified DTCs is retrieved. Parameter identification data from a plurality of vehicles experiencing the DTCs is collected. A first set of diagnostic rules is generated that identify vehicle operating parameters for executing a DTC algorithm or for triggering a DTC. A second set of diagnostic rules is generated that identify vehicle operating parameters used for selecting field failure data obtained when the DTC is triggered. Statistically significant rules are extracted from the second set of diagnostic rules. The first set of rules and the statistically significant rules are cooperatively applied to the parameter identification data for identifying a subset of the parameter identification data that represents anomalies. A subject matter expert analyzes the anomalies for identifying a root cause of the fault.

    摘要翻译: 提供了一种基于分析症状来识别服务车辆中的故障的根本原因的方法。 检索与识别的DTC相关联的参数识别数据。 收集来自经历DTC的多个车辆的参数识别数据。 生成第一组诊断规则,识别用于执行DTC算法或触发DTC的车辆操作参数。 产生第二组诊断规则,其识别用于选择触发DTC时获得的现场故障数据的车辆操作参数。 从第二组诊断规则中提取统计学上重要的规则。 协调地将第一组规则和统计上有意义的规则应用于参数识别数据,以识别代表异常的参数识别数据的子集。 主题专家分析了确定故障根本原因的异常情况。

    Fault diagnosis and prognosis using diagnostic trouble code markov chains
    17.
    发明授权
    Fault diagnosis and prognosis using diagnostic trouble code markov chains 有权
    诊断故障代码马尔科夫链的故障诊断和预后

    公开(公告)号:US08498776B2

    公开(公告)日:2013-07-30

    申请号:US12620466

    申请日:2009-11-17

    IPC分类号: G01M17/00

    摘要: A system and method for fault diagnosis includes receiving information defining a relationship between failure modes and diagnostic trouble codes and extracting diagnostic trouble code data, including set times, frequency data and diagnostic trouble code sequence information for a plurality of diagnostic trouble codes relating to a plurality of failure modes. The system and method further include constructing a Markov chain using the diagnostic trouble code data for each of the plurality of failure modes, training the Markov chain to learn a set of state parameters using the diagnostic trouble code data, and computing a likelihood of a diagnostic trouble code sequence for each of the plurality of failure modes using the trained Markov chains.

    摘要翻译: 用于故障诊断的系统和方法包括接收定义故障模式和诊断故障代码之间的关系的信息,并且提取诊断故障代码数据,包括用于多个诊断故障代码的多个诊断故障代码的设置时间,频率数据和诊断故障代码序列信息 的故障模式。 该系统和方法还包括使用针对多个故障模式中的每一个的诊断故障代码数据构建马尔可夫链,训练马尔可夫链以使用诊断故障代码数据学习一组状态参数,以及计算诊断的可能性 使用训练马尔科夫链的多个故障模式中的每一个的故障代码序列。

    Event-driven fault diagnosis framework for automotive systems
    18.
    发明授权
    Event-driven fault diagnosis framework for automotive systems 有权
    事件驱动的汽车系统故障诊断框架

    公开(公告)号:US08301333B2

    公开(公告)日:2012-10-30

    申请号:US12730883

    申请日:2010-03-24

    IPC分类号: G01M17/00 G06F7/00 G06F19/00

    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。