Grade and Payload Estimate-Based Transmission Gear Selection
    21.
    发明申请
    Grade and Payload Estimate-Based Transmission Gear Selection 有权
    基于等级和有效载荷估计的传动齿轮选择

    公开(公告)号:US20140172252A1

    公开(公告)日:2014-06-19

    申请号:US13715106

    申请日:2012-12-14

    Abstract: A vehicle includes an automatic transmission and a set of sensor inputs providing values indicating a current operational status of the vehicle pertinent to controlling the automatic transmission. The set of sensor inputs include: engine speed, engine torque, current transmission gear; and vehicle speed. The vehicle includes a programmed processor configured to iteratively and co-dependently generate a vehicle mass parameter value and a grade of incline parameter value. The programmed processor, when generating the vehicle mass parameter value and the grade of incline parameter value, uses a set of parameters including: a propulsive force driving the vehicle; a set of forces acting on the vehicle resisting forward movement, and an observed rate of change of a speed of the vehicle.

    Abstract translation: 车辆包括自动变速器和一组传感器输入,其提供指示与控制自动变速器相关的车辆的当前操作状态的值。 传感器输入组包括:发动机转速,发动机转矩,电流传动齿轮; 和车速。 车辆包括被配置为迭代地并且共同依赖地产生车辆质量参数值和倾斜参数值的等级的编程处理器。 编程处理器在产生车辆质量参数值和倾斜参数值的等级时使用一组参数,包括:驱动车辆的推进力; 作用在车辆上的抵抗向前运动的一组力,以及观察到的车辆速度变化率。

    System and method for detecting winding faults in a generator

    公开(公告)号:US11619670B2

    公开(公告)日:2023-04-04

    申请号:US16837701

    申请日:2020-04-01

    Abstract: A detection system for detecting winding faults, such as inter-turn winding faults in the stator and/or rotor of an electrical generator utilizes one or more vibration sensors that can be located on a generator housing. The vibration sensors make mechanical vibration measurements and transmit them to a fault analyzer. The fault analyzer can compare the measured vibrations with a threshold to determine if a winding is occurring. In an embodiment, the fault analyzer can convert the mechanical vibration measurements from the time domain to a frequency domain to facilitate analysis.

    UNDERCARRIAGE WEAR PREDICTION USING MACHINE LEARNING MODEL

    公开(公告)号:US20220139117A1

    公开(公告)日:2022-05-05

    申请号:US16949448

    申请日:2020-10-29

    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.

    System and Method for Detecting Winding Faults in a Generator

    公开(公告)号:US20210311122A1

    公开(公告)日:2021-10-07

    申请号:US16837701

    申请日:2020-04-01

    Abstract: A detection system for detecting winding faults, such as inter-turn winding faults in the stator and/or rotor of an electrical generator utilizes one or more vibration sensors that can be located on a generator housing. The vibration sensors make mechanical vibration measurements and transmit them to a fault analyzer. The fault analyzer can compare the measured vibrations with a threshold to determine if a winding is occurring. In an embodiment, the fault analyzer can convert the mechanical vibration measurements from the time domain to a frequency domain to facilitate analysis.

    HYDRAULIC FRACTURING PUMP HEALTH MONITOR

    公开(公告)号:US20210270261A1

    公开(公告)日:2021-09-02

    申请号:US16802949

    申请日:2020-02-27

    Abstract: A hydraulic fracturing machine includes a pump failure detection system. The hydraulic fracturing machine includes a hydraulic fracturing pump with a power end and a fluid end. The power end includes a plurality of roller bearings, and the fluid end includes a flow of fluid. A particle sensor coupled to the power end is configured to transmit particle information regarding a quantity of particles in the fluid. A temperature sensor, also coupled to the power end, is configured to transmit temperature information regarding a temperature of the fluid. A vibration sensor coupled to the power end is configured to transmit vibration information regarding a vibration of each of the plurality of roller bearings. An electronic control module analyzes the particle information, the temperature information and the vibration information, and calculates a failure warning level based on the analysis.

    System and method for detecting wear or failure of genset power system coupling

    公开(公告)号:US10656051B2

    公开(公告)日:2020-05-19

    申请号:US15660081

    申请日:2017-07-26

    Abstract: A system for detecting wear or failure of a genset coupling of a genset power system is provided. The system includes a vibration sensor for measuring vibrations, and an additional sensor for measuring an operating condition. A controller is configured to process operating condition data from the additional sensor using a modeling software to generate simulated data. The controller applies time domain information of at least one of the simulated data and vibration sensor data to the modeling software using a machine learning algorithm, and perform a comparison to identify wear or failure of the coupling, wherein, when performing the comparison, the controller compares at least one of: time domain information of the vibration sensor data to time domain information of the simulated data or frequency domain information of the vibration sensor data to frequency domain information of the simulated data, to identify wear or failure of the coupling.

    BEARING FAILURE DETECTION IN A HYDRAULIC FRACTURING RIG

    公开(公告)号:US20190353557A1

    公开(公告)日:2019-11-21

    申请号:US15984539

    申请日:2018-05-21

    Abstract: A rig management system is disclosed. The rig management system may be configured to receive vibration data from a set of sensors installed on one or more elements of a hydraulic fracturing rig. The rig management system may be configured to perform a first processing of the vibration data utilizing a moving window technique to identify a possible failure of a set of bearings. The rig management system may be configured to perform a second processing utilizing a set of processing techniques after identifying the possible failure of the set of bearings. The rig management system may be configured to determine that the possible failure is an actual failure based on a result of performing the second processing. The rig management system may be configured to perform an action after determing that the possible failure is the actual failure.

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