CRYOSTAT DEVICE FOR SUPERCONDUCTING MAGNETIC LEVITATION TRAIN AND OPERATION METHOD THEREOF

    公开(公告)号:US20240359714A1

    公开(公告)日:2024-10-31

    申请号:US18768309

    申请日:2024-07-10

    IPC分类号: B61D27/00 F25D19/00

    CPC分类号: B61D27/0072 F25D19/006

    摘要: A cryostat device for a superconducting magnetic levitation train includes a conduction assembly, a support assembly and a refrigeration assembly. The conduction assembly includes a conduction shell, a copper box arranged in the conduction shell, and a thermally-conductive support rod assembly. A top of the thermally-conductive support rod assembly is connected with a bottom of the copper box. A bottom of the thermally-conductive support rod assembly is connected with a bottom wall of the conduction shell. A top of the copper box is provided with a superconducting bulk accommodating cavity. The bottom of the copper box is provided with a cooling energy connecting end. A top of the support assembly is configured to support the conduction assembly. A bottom of the support assembly is connected with a bogie chassis. The refrigeration assembly is provided with a cooling energy input end connected with the cooling energy connecting end.

    MOVING OBJECT POSITION ESTIMATION AND PREDICTION METHOD AND APPARATUS,DEVICE, AND MEDIUM

    公开(公告)号:US20240321111A1

    公开(公告)日:2024-09-26

    申请号:US18679268

    申请日:2024-05-30

    发明人: Jian GUO

    IPC分类号: G08G3/02

    CPC分类号: G08G3/02

    摘要: Embodiments of the application provide a position estimation and prediction method for a moving object. The method includes: updating a model parameter of a position prediction model according to a position data sequence of the moving object at a current sampling moment; determining position prediction data at the current sampling moment according to the position data sequence and the position prediction model after the model parameter is updated; determining position estimation data at the current sampling moment according to the position prediction data and the position observation data at the current sampling moment; and determining position prediction data of a next sampling moment according to the position estimation data at the current sampling moment, the position data sequence and the position prediction model after the model parameter is updated, and entering an iteration operation of the next sampling moment.

    PREPARATION METHOD OF TITANIUM ALLOY POWDERS
    74.
    发明公开

    公开(公告)号:US20240253122A1

    公开(公告)日:2024-08-01

    申请号:US18630802

    申请日:2024-04-09

    摘要: A preparation method of Yttrium oxide dispersed and strengthened titanium alloy powders. The method includes following steps: mixing alloying elements according to alloy element ratios of: 0.1 wt % to 1.0 wt % Y, 5.5 wt % to 6.8 wt % Al, 3.5 wt % to 4.5 wt % V, Ti as balance, preparing alloy ingots by vacuum melting process, and performing forging and rolling process; performing mechanical treatment for forged and rolled alloy ingots, to obtain alloy rods that meet size requirement of plasma rotating electrode process; preparing titanium alloy powders based on alloy rods by the plasma rotating electrode process; preparing parameters are: rotating speed of the alloy rods is 25000 r/min to 35000 r/min, a feeding speed of the alloy rods is 1.0 mm/s to 2.0 mm/s, power of the plasma gun is 60 kw to 140 kw, a temperature of the inert gas is 200° ° C. to 400° C., oxygen content of atomization chamber not greater than 100 ppm.

    Automatic transport device for cleaning machine

    公开(公告)号:US11964305B2

    公开(公告)日:2024-04-23

    申请号:US18504885

    申请日:2023-11-08

    IPC分类号: B08B13/00

    CPC分类号: B08B13/00

    摘要: An automatic transport device for cleaning machines includes a transport base. A lifting-lowering assembly and a tray are provided on the transport base. The tray is connected to the transport base through the lifting-lowering assembly, and can be driven by the lifting-lowering assembly to reciprocate in a height direction. A top surface of the tray is provided with a translation assembly for transferring the shelf to the transport platform. A first mounting cavity is provided at each of front and rear ends of the tray. The translation assembly is connected to a side wall of the first mounting cavity. A second mounting cavity is provided at each of right and left ends of the tray. The second mounting cavity is provided with a limiting assembly, a lifting-lowering sensing assembly and a distance sensing assembly. An interactive system is provided in the transport base.

    Adaptive method of cleaning structural health monitoring data based on local outlier factor

    公开(公告)号:US11809517B1

    公开(公告)日:2023-11-07

    申请号:US18123234

    申请日:2023-03-17

    IPC分类号: G06F17/18 G06F17/10

    CPC分类号: G06F17/18 G06F17/10

    摘要: An adaptive method of cleaning structural health monitoring (SHM) data based on local outlier factor is provided, including following steps: step 1: dividing SHM data to be analyzed into a series of data segments by using adaptive sliding window (ASW) technology; step 2: extracting time-domain statistical factors and frequency-domain statistical factors of each of the data segments to refine data information, thereby forming objects for study; step 3: calculating an outlier degree of each of the objects by using a weighted multiscale local outlier factor (WMLOF) based on feature factors; and step 4: detecting anomalies in SHM data by comparing a WMLOF value with a threshold value. The adaptive method can improve data quality effectively.

    RAIL CORRUGATION RECOGNITION METHOD AND APPARATUS BASED ON SUPPORT VECTOR MACHINE, DEVICE, AND MEDIUM

    公开(公告)号:US20230347948A1

    公开(公告)日:2023-11-02

    申请号:US18052794

    申请日:2022-11-04

    IPC分类号: B61L23/04 G06K9/62 G06N20/10

    摘要: The present disclosure discloses a rail corrugation recognition method and apparatus based on a support vector machine, a device, and a medium. The method includes: obtaining wheel-rail noise signals in different time periods, and obtaining wheel-rail noise time domain information; dividing the wheel-rail noise time domain information into segmented wheel-rail noise time domain information corresponding to each of the different time periods; preprocessing each piece of segmented wheel-rail noise time domain information, and extracting a time domain statistical characteristic quantity and frequency domain eigenmode energy of each piece of segmented wheel-rail noise time domain information, to obtain a multi-dimensional wheel-rail noise characteristic vector; constructing a rail corrugation state recognition model based on a support vector machine, and training the rail corrugation state recognition model; and recognizing to-be-recognized wheel-rail noise data by using the rail corrugation state recognition model based on a support vector machine, to obtain a rail corrugation state.