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    Device for detecting a motor drive current
    3.
    发明授权
    Device for detecting a motor drive current 有权
    用于检测电机驱动电流的装置

    公开(公告)号：US07012446B2

    公开(公告)日：2006-03-14

    申请号：US10862581

    申请日：2004-06-08

    Applicant: Shin Taguchi ,  Hiromichi Agata ,  Masayuki Takenaka

    Inventor： Shin Taguchi ,  Hiromichi Agata ,  Masayuki Takenaka

    IPC: H01R4/60 ,  G01R31/36

    CPC classification number: H02K11/048 ,  H02K11/0094

    Abstract: A device for detecting a motor drive current is arranged without substantially requiring additional space. The device for detecting a motor drive current, detects the currents of the phases flowing through the feeder lines that connect the motors to an inverter using a first bus bar for each of the phases arranged in parallel relative to each other and second bus bars extending from the ends of the first bus bars in a direction to intersect the axes of the first bus bar to which attached, by using magnetic field detector elements of each of the phases arranged near the feeder lines, wherein processing means for detecting the currents relying on the magnetic field detector elements of each of the phases are provided on a common circuit board. The magnetic field detector elements are disposed near the first bus bars of each of the phases, and the circuit board is arranged in a space sandwiched between the outermost first bus bars. Thus, the circuit board is arranged without substantially requiring additional space, and the current detecting device is realized in a compact form.

    Abstract translation: 布置用于检测电动机驱动电流的装置，而基本上不需要额外的空间。 用于检测电动机驱动电流的装置检测通过使用用于相对于彼此并联布置的每个相的第一汇流条将电动机连接到逆变器的馈线的相流的电流，并且第二母线从 所述第一母线的端部通过使用布置在所述馈线附近的各相的磁场检测器元件沿与所连接的所述第一母线的轴相交的方向，其中，用于检测依赖于所述第二母线的电流的处理装置 每个相的磁场检测器元件设置在公共电路板上。 磁场检测器元件设置在每相的第一汇流条附近，并且电路板布置在夹在最外面的第一汇流条之间的空间中。 因此，电路板被布置成基本上不需要额外的空间，并且电流检测装置以紧凑的形式实现。

    Device for removing inverter noise
    4.
    发明授权
    Device for removing inverter noise 有权
    去除变频器噪声的装置

    公开(公告)号：US07085144B2

    公开(公告)日：2006-08-01

    申请号：US10870022

    申请日：2004-06-18

    Applicant: Shin Taguchi ,  Kiyotaka Koga ,  Katsuhiko Hattori

    Inventor： Shin Taguchi ,  Kiyotaka Koga ,  Katsuhiko Hattori

    IPC: H02M1/12 ,  H02M1/14

    CPC classification number: H02M1/12 ,  H02M7/003 ,  H02M2001/008

    Abstract: In a device for removing inverter noise, a pair of bus bars extending in parallel are grounded via a pair of capacitors. The capacitors are connected to the bus bars and to a grounding terminal at positions symmetrical to the pair of bus bars. Therefore, the inductance components are balanced from the source of noise to the grounded point, and impedance components are decreased from the two bus bars to a point grounded through the capacitors, making it possible to effectively remove high-frequency noise on the DC bus line of the inverter without requiring a large amount of space.

    Abstract translation: 在用于去除变频器噪声的装置中，并联延伸的一对母线通过一对电容器接地。 电容器连接到汇流排，并将接地端子连接到与该对母线对称的位置处。 因此，电感元件从噪声源到接地点平衡，阻抗分量从两个母线减小到通过电容器接地的点，可以有效地去除直流母线上的高频噪声 的逆变器，而不需要大量的空间。

    Multivariate data analysis method and uses thereof
    5.
    发明授权
    Multivariate data analysis method and uses thereof 失效
    多变量数据分析方法及其应用

    公开(公告)号：US07043401B2

    公开(公告)日：2006-05-09

    申请号：US10774024

    申请日：2004-02-06

    Applicant: Genichi Taguchi ,  Rajesh Jugulum ,  Shin Taguchi

    Inventor： Genichi Taguchi ,  Rajesh Jugulum ,  Shin Taguchi

    IPC: H03F1/26

    CPC classification number: G06F17/18

    Abstract: A process involves collecting data relating to a particular condition and parsing the data from an original set of variables into subsets. For each subset defined, Mahalanobis distances are computed for known normal and abnormal values and the square root of these Mahalanobis distances is computed. A multiple Mahalanobis distance is calculated based upon the square root of Mahalanobis distances. Signal to noise ratios are obtained for each run of an orthogonal array in order to identify important subsets. This process has applications in identifying important variables or combinations thereof from a large number of potential contributors to a condition. The multidimensional system is robust and performs predictive data analysis well even when there are incidences of multi-collinearity and variables with zero standard deviations in reference group or unit space. Separate methods are provided: adjoint matrix Gram-Schmidt's method for multi-collinearity problems, and modified Gram-Schmidt method for the cases where there are variables with zero standard deviation to achieve data analysis.

    Abstract translation: 一个过程涉及收集与特定条件相关的数据，并将数据从一组原始变量解析成子集。 对于定义的每个子集，计算已知正态和异常值的马氏距离，并计算这些马氏距离的平方根。 基于马氏距离的平方根计算多个马氏距离。 为了识别重要的子集，获得每个正交阵列的信噪比。 该过程具有从大量对条件的潜在贡献者识别重要变量或其组合的应用。 多维系统是鲁棒的，并且即使在多共线性和参考组或单位空间中具有零标准偏差的变量的情况下也能良好地进行预测性数据分析。 提供了独立的方法：伴随矩阵Gram-Schmidt的多共线性问题的方法，并且对于具有零标准偏差的变量来实现数据分析的情况，使用改进的Gram-Schmidt方法。

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