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    Undercarriage wear prediction using machine learning model
    2.
    发明授权
    Undercarriage wear prediction using machine learning model 有权

    公开(公告)号：US11704942B2

    公开(公告)日：2023-07-18

    申请号：US16949448

    申请日：2020-10-29

    Applicant: Caterpillar Inc.

    Inventor： Li Zhang ,  Eric J. Johannsen ,  Yanchai Zhang ,  Xuefei Hu ,  Daniel W. Hoyt

    IPC: G07C5/00 ,  G06N20/00 ,  G07C5/08

    CPC classification number: G07C5/006 ,  G06N20/00 ,  G07C5/0808 ,  G07C5/0816

    Abstract: A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

    Alloy for seal ring, seal ring, and method of making seal ring for seal assembly of machine
    3.
    发明授权
    Alloy for seal ring, seal ring, and method of making seal ring for seal assembly of machine 有权

    公开(公告)号：US11104978B2

    公开(公告)日：2021-08-31

    申请号：US16220957

    申请日：2018-12-14

    Applicant: Caterpillar Inc.

    Inventor： Li Zhang ,  Thomas Yaniak ,  Jichul Choi ,  Yeonbok Muk ,  Gilsung Kim

    IPC: F16J15/08 ,  F16J15/34 ,  C22C19/05

    Abstract: A seal ring for a seal assembly includes a body and a seal flange. The body is generally cylindrical and extends along a longitudinal axis between a load end and a seal end. The seal flange is disposed at the seal end of the cylindrical body. The seal flange circumscribes the body and projects radially from the body to a distal perimeter of the seal flange. The seal flange includes a sealing face which is annular and disposed adjacent the distal perimeter. The seal ring is made from an alloy that includes between 6 percent and 9 percent by weight of iron, between 1.5 percent and 3 percent by weight of silicon, greater than 14 percent by weight of chromium, and at least 65 percent by weight of nickel.

    TENSION MONITOR FOR UNDERCARRIAGE TRACK IN A WORK MACHINE
    4.
    发明申请
    TENSION MONITOR FOR UNDERCARRIAGE TRACK IN A WORK MACHINE 有权

    公开(公告)号：US20250019939A1

    公开(公告)日：2025-01-16

    申请号：US18221542

    申请日：2023-07-13

    Applicant: Caterpillar Inc.

    Inventor： Eric James Johannsen ,  Li Zhang

    IPC: E02F9/26 ,  B62D55/125 ,  B62D55/21 ,  G01P1/07 ,  G01P15/18

    Abstract: A work machine, such as a tractor or skid steer, has a motion sensor attached to a segment of a continuous ground-engaging track in its undercarriage. The motion sensor generates motion data indicative of a change in motion for the track segment as the track rotates around a track assembly. An electronic controller for the work machine receives and evaluates the motion data, first to identify a location of the track segment within the undercarriage and then to compare the motion data with expected motion data for the track segment under normal track tension. Motion data outside a range of the expected motion data indicates an abnormal sag in the track, causing the electronic controller to generate an alert for adjustment of the track tension.

    Casting Design Advisor Toolkit
    6.
    发明申请
    Casting Design Advisor Toolkit 审中-公开
    铸造设计顾问工具包

    公开(公告)号：US20160034604A1

    公开(公告)日：2016-02-04

    申请号：US14451402

    申请日：2014-08-04

    Applicant: Caterpillar Inc.

    Inventor： Zhiping Lin ,  Li Zhang ,  Adrian V. Catalina ,  Zhiyong Hu ,  Chunsheng Li ,  Daniel A. Gorsky ,  Krishna K anth Konjeti ,  Weizhou Li

    IPC: G06F17/50

    CPC classification number: G06F17/50 ,  G06F2217/41

    Abstract: A system for providing casting design advisement for designing a cast component is provided. The system includes an integrated design environment, the integrated design environment receiving a concept design for the cast component, the concept design being user-modifiable. The system also includes a plurality of design advisory modules, the plurality of design advisory modules determining physics models associated with the concept design for the cast component and providing advisement analysis for the concept design based on the physics models. The system includes a design rule logic solver for receiving concept design features associated with the concept design and comparing the concept design features with stored casting design rules to determine a geometry modification guide.

    Abstract translation: 提供了一种用于设计铸造组件的铸造设计咨询的系统。 该系统包括集成设计环境，集成设计环境接收铸件组件的概念设计，概念设计可由用户修改。 该系统还包括多个设计咨询模块，多个设计咨询模块确定与铸件组件的概念设计相关联的物理模型，并且基于物理模型提供关于概念设计的建议分析。 该系统包括用于接收与概念设计相关联的概念设计特征的设计规则逻辑解算器，并将概念设计特征与存储的铸造设计规则进行比较以确定几何修改指南。

    Undercarriage wear prediction based on machine vibration data
    7.
    发明授权
    Undercarriage wear prediction based on machine vibration data 有权

    公开(公告)号：US11462058B2

    公开(公告)日：2022-10-04

    申请号：US16949450

    申请日：2020-10-29

    Applicant: Caterpillar Inc.

    Inventor： Li Zhang ,  Yingbiao Xu

    IPC: G07C5/00 ,  G06F17/14 ,  G07C5/08

    Abstract: A system may include a device. The device may be configured to receive machine vibration data identifying a measure of vibration of a machine. The vibration, of the machine, may be caused by a combination of first vibration caused by a motion of components of an undercarriage of the machine and second vibration that is unrelated to the first vibration. The device may be configured to identify a segment, of the machine vibration data, corresponding to the first vibration; transform the segment, using a Fast Fourier Transform (FFT), into a signal in a frequency domain; and analyze the signal to identify a signature spectrum associated with the motion of components. The device may be configured to predict, based on the signature spectrum, an amount of wear of the components. The device may be configured to cause an action to be performed based on the amount of wear of the components.

    COMPONENT MONITORING BASED ON MAGNETIC SIGNALS
    8.
    发明申请
    COMPONENT MONITORING BASED ON MAGNETIC SIGNALS 有权

    公开(公告)号：US20230060000A1

    公开(公告)日：2023-02-23

    申请号：US17445359

    申请日：2021-08-18

    Applicant: Caterpillar Inc.

    Inventor： Li Zhang ,  Eric J. Johannsen

    IPC: B62D55/32 ,  G01B7/26 ,  G07C5/00 ,  G07C5/08

    Abstract: A system may include a first device and a second device. The first device may be configured to be associated with a component of a machine. The second device may be configured to provide one or more interrogation magnetic signals to the first device; and determine, based on providing the one or more interrogation magnetic signals, whether a response magnetic signal is received from the first device. The second device may selectively provide first wear information indicating a first amount of wear of the component or second wear information indicating a second amount of wear of the component. The first information may be provided when the response magnetic signal is received from the first device. The second wear information may be provided when the response magnetic signal is not received from the first device. The second amount of wear may exceed the first amount of wear.

    UNDERCARRIAGE WEAR PREDICTION USING MACHINE LEARNING MODEL
    9.
    发明申请
    UNDERCARRIAGE WEAR PREDICTION USING MACHINE LEARNING MODEL 有权

    公开(公告)号：US20220139117A1

    公开(公告)日：2022-05-05

    申请号：US16949448

    申请日：2020-10-29

    Applicant: Caterpillar Inc.

    Inventor： Li Zhang ,  Eric J. Johannsen ,  Yanchai Zhang ,  Xuefei Hu ,  Daniel W. Hoyt

    IPC: G07C5/00 ,  G07C5/08 ,  G06N20/00

    Abstract: A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.

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