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    • 4. 发明授权
    • Friction stir welding apparatus
    • US11440132B2
    • 2022-09-13
    • US17273610
    • 2019-09-17
    • Hitachi Power Solutions Co., Ltd.
    • Koichi IshiguroShun ShinoharaKohei FunaharaTomio OdakuraYoshinori OyamaTakayuki IkariyamaYoshiaki Kobayashi
    • B23K20/00B23K20/12B23K101/00
    • Provided are a friction stir welding apparatus and a friction stir welding method capable of highly accurate position control in a Z-axis direction (vertical direction) of a joining tool when a joint target member is subjected to friction stir welding by the friction stir welding apparatus. The friction stir welding apparatus includes a joining tool which consists of a shoulder portion and a probe portion and is inserted into a joint target member to rotate, a joining head which holds the joining tool, an apparatus body which holds the joining head, rotates the joining tool, and moves the joining tool, and a control device which controls an operation of the joining tool, in which the control device has a reference setting mode where a correction reference used for correction of misalignment in the Z-axis direction of the joining tool which occurs when the joint target member is joined by the joining tool is set in a stage before the joining tool is inserted into the joint target member, a joining mode where the joining tool is inserted into the joint target member and the joint target member is joined, and a correction mode where an amount of position fluctuation of a tip of the joining tool with respect to the correction reference which occurs when the joining tool joins the joint target member is measured and correction is performed when the amount of position fluctuation exceeds a predetermined threshold value.
    • 5. 发明申请
    • Friction Stir Welding Apparatus
    • US20210316390A1
    • 2021-10-14
    • US17273610
    • 2019-09-17
    • Hitachi Power Solutions Co., Ltd.
    • Koichi ISHIGUROShun SHINOHARAKohei FUNAHARATomio ODAKURAYoshinori OYAMATakayuki IKARIYAMAYoshiaki KOBAYASHI
    • B23K20/12
    • Provided are a friction stir welding apparatus and a friction stir welding method capable of highly accurate position control in a Z-axis direction (vertical direction) of a joining tool when a joint target member is subjected to friction stir welding by the friction stir welding apparatus. The friction stir welding apparatus includes a joining tool which consists of a shoulder portion and a probe portion and is inserted into a joint target member to rotate, a joining head which holds the joining tool, an apparatus body which holds the joining head, rotates the joining tool, and moves the joining tool, and a control device which controls an operation of the joining tool, in which the control device has a reference setting mode where a correction reference used for correction of misalignment in the Z-axis direction of the joining tool which occurs when the joint target member is joined by the joining tool is set in a stage before the joining tool is inserted into the joint target member, a joining mode where the joining tool is inserted into the joint target member and the joint target member is joined, and a correction mode where an amount of position fluctuation of a tip of the joining tool with respect to the correction reference which occurs when the joining tool joins the joint target member is measured and correction is performed when the amount of position fluctuation exceeds a predetermined threshold value.
    • 9. 发明申请
    • Stacked Cell Manufacturing Method and Apparatus Using the Same
    • 堆叠式电池制造方法及使用该装置的装置
    • US20140237808A1
    • 2014-08-28
    • US14180399
    • 2014-02-14
    • Hitachi Power Solutions Co., Ltd.
    • Shoji NAKAKUKIShuji YONAIMitsunori SEKIYA
    • H01M10/04
    • H01M10/0459H01M10/0404H01M10/0463H01M10/0525H01M10/0583Y10T29/49108Y10T29/53135
    • The stacked cell manufacturing method includes the steps of executing zigzag-folding of a band-like separator by the intermediary of a zigzag-folding mechanism, alternately feeding a positive-plate and a negative-plate onto the separator as folded back every time the separator is folded back by the zigzag-folding. A positive-plate transfer head and a negative-plate transfer head are set so as to alternately undergo a linearly reciprocating transfer in a horizontal direction at least on the table, the direction of a horizontal and reciprocating transfer made by the positive-plate transfer head and the negative-plate transfer head is set to coincide with a folding-back direction of the zigzag-folding of the separator, and a force caused by the horizontal and reciprocating transfer alternately made by each of these transfer heads is imparted to the separator guided onto the table, thereby executing the zigzag-folding while the separator is drawn onto the table.
    • 堆叠式电池的制造方法包括以锯齿形折叠机构为中心进行带状隔板的折曲折叠的步骤,每当分离器折叠时,将正极板和负极板交替地供给到隔膜上 被折叠的Z字形折叠。 设置正极板转印头和负极板转印头,以便至少在工作台上沿水平方向交替进行直线往复传送,由正极板转印头进行水平和往复转印的方向 并且负片转印头被设定为与分离器的锯齿形折叠的折回方向一致,并且由这些转印头中的每一个交替地制成的由水平和往复转印引起的力被施加到分离器导向 从而在分离器被拉到桌子上时执行锯齿形折叠。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR MONITORING EQUIPMENT CONDITIONS
    • 监控设备条件的方法和装置
    • US20140039834A1
    • 2014-02-06
    • US13956419
    • 2013-08-01
    • Hitachi Power Solutions Co., Ltd.
    • Hisae SHIBUYAShunji MAEDA
    • G06F11/22
    • G06F11/22G05B23/024
    • In case-based anomaly detection in equipment such as a plant, it is necessary to search entire learned data for partial data close to newly observed data. Which needs a long computation time. In order to solve this problem, there is provided a method, the learned data is clustered into clusters and the centers of the clusters as well as data pertaining to the clusters are stored in advance. Data close to newly observed data is selected from only the learned data pertaining to a cluster close to the newly observed data. Then, a normal model is created from the selected data and an anomaly measure is found whereas a threshold value is determined. Subsequently, an anomaly measure is found from the newly observed data and the created normal model. Then, this anomaly measure is compared with the threshold value in order to detect an anomaly of the equipment.
    • 在诸如工厂等设备的基于案例的异常检测中,有必要搜索整个学习数据以获得接近新观察数据的部分数据。 哪个需要很长的计算时间。 为了解决这个问题,提供了一种方法,将学习的数据聚类成簇,并且预先存储簇的中心以及与簇相关的数据。 接近新观察数据的数据仅从与靠近新观测数据的集群有关的学习数据中选择。 然后,根据所选择的数据创建正常模型,并且发现异常测量,而确定阈值。 随后,从新观察的数据和创建的正常模型中发现了异常测度。 然后,将该异常措施与阈值进行比较,以检测设备的异常情况。