Tsinghua University

Beijing Baidu Netcom Science and Technology Co., Ltd.

Fei Guo

XiaoHong Jia

YiJie Huang

Chong Xiang

Ganlin Cheng

YuMing Wang

Shengshan Chen

Fan Zhang

Dianhai Yu

Yanjun Ma

Xiang Lan

Yongjian Li

Liujie Zhang

Huihuang Zheng

Yamei Li

Qiyao Chen

Bingzhe Chen

A material testing machine, including a machine body, a first fixing element, a second fixing element and a detection assembly; the first and the second fixing elements are mounted to the machine body, the first fixing element is configured to mount a first testing element, and the second fixing element is configured to mount a second testing element; in a first state, the first and the second testing elements are in sliding contact; in a second state, the first fixing element drives the first testing element to collide with the second testing element; the detection assembly is configured to detect a target parameter, and in the first state, the target parameter includes a friction force and/or, a friction sound between the first and the second testing elements; and in the second state, the target parameter includes a collision force received by the first or the second testing element.

Material testing machine

A data processing method and apparatus based on a recurrent neural network and a device are provided. The recurrent neural network includes multiple recurrent units, each recurrent unit includes multiple data processing nodes and a start node, at least one recurrent unit includes an end node, and at least one data processing node is included between the start node and the end node. During the processing of the first target processing object in a first recurrent unit, in a case that the first target processing object does not satisfy the first preset condition, the start node in the first recurrent unit is run to add a tag to the data processing nodes subsequent to the start node and stop addition of the tag in response to reaching the end node, and no processing is performed by the data processing nodes with the tag.

Data processing method and apparatus based on recurrent neural network, and device

An equipment for sealing-performance test includes a housing, a fixed mechanism and a detection part; the housing is configured to accommodate the fixed mechanism, and an abutting part is formed in the housing and is configured to abut against an outer side of a sealing ring; the fixed mechanism includes a central rod, a plurality of fixed blocks and a driving assembly, the central rod extends along a direction parallel to the axial direction of the central rod, the plurality of fixed blocks are evenly disposed along a circumferential direction of the central rod, and the driving assembly is configured to drive the plurality of fixed blocks to move along a radial direction of the central rod; a test cavity and a detection cavity are formed in the housing, the test cavity is filled with a test fluid, and is separated from the detection cavity by the sealing ring.

Equipment for sealing-performance test

Embodiments of the present disclosure belong to the field of valve sealing, and in particular, relate to a test device for simulating sealing performance of a one-way valve. A box is provided with a gas inlet pipe and a gas outlet pipe, the gas inlet pipe is communicated with a gas source, a detection device is communicated with the gas outlet pipe, the detection device is used to detect detection gas input into the box by the gas source, a sleeve is connected to the gas inlet pipe, one end of the sleeve is communicated with the gas source, the other end of the sleeve has a gas outlet, one end of a fitting piece is used to block the gas outlet, and the other end of the fitting piece is connected to a driving member, which is used to drive the fitting piece to move and rotate.

Test device for detecting sealing performance of one-way valve

Growing community of inventors

Beijing, China

Fei Guo