Hydraulic Pump Port Plate with Variable Area Metering Notch
    1.
    发明申请
    Hydraulic Pump Port Plate with Variable Area Metering Notch 审中-公开
    液压泵端口板带有可变面积计量槽口

    公开(公告)号:US20170058876A1

    公开(公告)日:2017-03-02

    申请号:US14839128

    申请日:2015-08-28

    Abstract: A port plate for a swashplate type axial piston pump is described herein. The port plate includes an inlet port, a discharge port, and a first metering notch in fluidic communication via a first passage with a metering notch area adjustment valve configured to adjust the effective area of the metering notch. The first metering notch is disposed at a leading edge of one of the inlet port or the discharge port.

    Abstract translation: 本文描述了用于斜盘式轴向柱塞泵的端口板。 端口板包括入口端口,排出口和经由第一通道流体连通的第一计量凹口,配置有调节计量凹口的有效面积的计量切口区域调节阀。 第一计量槽口设置在入口或排出口之一的前缘。

    SYSTEMS AND METHODS FOR IDENTIFYING MACHINE ANOMALY ROOT CAUSE

    公开(公告)号:US20230168961A1

    公开(公告)日:2023-06-01

    申请号:US17539011

    申请日:2021-11-30

    CPC classification number: G06F11/079 G06F11/0736

    Abstract: A method for identifying a cause of a machine operating anomaly including creating a reduced order model (ROMs) for a digital twin model of a selected machine type and feeding current data from a deployed machine into the ROM. The method can include comparing a current output from the selected ROM with a measured output from the current data and determining that an operating anomaly exists when the difference between the current output and the measured output exceeds a selected anomaly threshold. The cause of the operating anomaly can be identified by feeding the current data into a plurality of fault models, wherein each fault model includes a particular component failure, comparing a fault model output from each of the plurality of fault models with the measured output from the current data, selecting the fault model with the fault model output most closely matching the measured output, and displaying the identified component failure associated with the selected fault model as the cause of the operating anomaly.

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