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    Machine monitoring device
    2.
    发明授权
    Machine monitoring device 有权

    公开(公告)号：US10444714B2

    公开(公告)日：2019-10-15

    申请号：US15188137

    申请日：2016-06-21

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Adolfo Anta Martinez

    IPC: G06G7/48 ,  G05B13/04 ,  G06F17/11 ,  G05B23/02 ,  G06F17/50

    Abstract: A machine monitoring device is provided which includes a communications link to interrogate a machine with a probe signal and receive one or more measured machine operating condition outputs; and a device controller capable of selecting a machine operating condition input variable for which a corresponding machine operating condition output is unknown; applying a predictive model in which the machine operating condition input variable serves as an argument of a predicted machine operating condition output; updating a library of predicted machine operating condition outputs; and alerting a human operator if a measured or predicted machine operating condition output exceeds a predetermined limit. The predictive model is based on at least two independent primary models having at least one correspondence between a primary model machine operating condition and a corresponding machine output. The primary models share a common basis in the predictive model.

    METHOD TO DETECT VIBRATION NODES BETWEEN A SENSOR AND AN ACTUATOR IN A ROTATABLE COMPONENT
    4.
    发明申请
    METHOD TO DETECT VIBRATION NODES BETWEEN A SENSOR AND AN ACTUATOR IN A ROTATABLE COMPONENT 有权
    检测传感器和可转动部件中的执行器之间的振动点的方法

    公开(公告)号：US20160139083A1

    公开(公告)日：2016-05-19

    申请号：US14541953

    申请日：2014-11-14

    Applicant: General Electric Company

    Inventor： Rosa Castane Selga ,  Siddharth Navinchandra Ashar ,  Christoph Boeld ,  Mohamed Osama ,  Adolfo Anta Martinez

    IPC: G01N29/12 ,  F16C32/04 ,  G01D5/02

    CPC classification number: G01N29/12 ,  F16C32/0444 ,  F16C32/0453 ,  F16C32/0474 ,  F16C32/0487 ,  G01D5/02 ,  G01M13/045 ,  G01N2291/014 ,  G01N2291/028

    Abstract: A method of detecting a vibration node between a non-collocated sensor-actuator pair of a rotatable component includes applying an excitation signal to an actuator of the sensor actuator pair. The method also includes obtaining frequency response data from the sensor-actuator pair. The method further includes analyzing the frequency response data to ascertain a resonant frequency of the rotatable component. The method includes identifying a resonance/anti-resonance peak pair in the frequency response data for the non-collocated sensor-actuator pair. Furthermore, the method includes determining whether the vibration node is located between a sensor and the actuator of the non-collocated sensor-actuator pair based on the resonance/anti-resonance peak pair.

    Abstract translation: 检测可旋转部件的非配置传感器 - 致动器对之间的振动节点的方法包括将激励信号施加到传感器致动器对的致动器。 该方法还包括从传感器 - 致动器对获得频率响应数据。 该方法还包括分析频率响应数据以确定可旋转部件的共振频率。 该方法包括识别用于非并置的传感器 - 致动器对的频率响应数据中的共振/反共振峰对。 此外，该方法包括基于共振/反共振峰对，确定振动节点是否位于传感器和非并置的传感器 - 致动器对的致动器之间。

    Wind turbine and method to determine modal characteristics of the wind turbine in a continuous manner
    5.
    发明授权
    Wind turbine and method to determine modal characteristics of the wind turbine in a continuous manner 有权

    公开(公告)号：US11635062B2

    公开(公告)日：2023-04-25

    申请号：US16182996

    申请日：2018-11-07

    Applicant: General Electric Company

    Inventor： Adolfo Anta Martinez ,  Conner Brooks Shane ,  Sebastia Roca Ferrer

    IPC: F03D17/00 ,  F03D7/04 ,  F03D13/25 ,  G05B19/05

    Abstract: An automated method to determine modal characteristics of a wind turbine tower at an offshore location in a continuous manner includes reading one or more sensor data signals, prefiltering the one or more sensor data signals to divide the signals into a plurality of time segments, obtaining a frequency domain representation of each of the plurality of time segments by computing a Power Spectral Density (PSD) of each of the time segments to identify one or more frequency peaks in each of the time segments, assigning a probability to each of the frequency peaks in the PSD of each of the time segments, combining all assigned probabilities and determining the likelihood of the one or more frequency peaks. Also disclosed is an offshore wind turbine tower having a turbine control system utilizing the automated method to determine modal characteristics of the wind turbine.

    MACHINE MONITORING DEVICE
    6.
    发明申请
    MACHINE MONITORING DEVICE 审中-公开

    公开(公告)号：US20170364042A1

    公开(公告)日：2017-12-21

    申请号：US15188137

    申请日：2016-06-21

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Adolfo Anta Martinez

    IPC: G05B13/04 ,  G06F17/11

    CPC classification number: G05B13/048 ,  G05B23/0254 ,  G05B23/0256 ,  G06F17/11 ,  G06F17/50

    Abstract: A machine monitoring device is provided which includes (a) a communications link to interrogate a machine with a probe signal and receive one or more measured machine operating condition outputs; and (b) a device controller capable of (i) selecting a machine operating condition input variable for which a corresponding machine operating condition output is unknown; (ii) applying a predictive model in which the machine operating condition input variable serves as an argument of a predicted machine operating condition output; (iii) updating a library of predicted machine operating condition outputs; and (iv) alerting a human operator if a measured or predicted machine operating condition output exceeds a predetermined limit. The predictive model is based on at least two independent primary models having at least one correspondence between a primary model machine operating condition and a corresponding machine output. The primary models share a common basis in the predictive model.

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