ELEVATOR SENSOR SYSTEM CALIBRATION
    2.
    发明申请

    公开(公告)号:US20190010021A1

    公开(公告)日:2019-01-10

    申请号:US15642477

    申请日:2017-07-06

    Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of baseline sensor data from one or more sensors of an elevator sensor system as a field-site baseline response. The computing system compares the field-site baseline response to an experiment-site baseline response. The computing system performs analytics model calibration to produce a calibrated trained model for fault diagnostics and/or prognostics based on one or more response changes between the field-site baseline response and the experiment-site baseline response.

    ELEVATOR SENSOR SYSTEM CALIBRATION
    4.
    发明申请

    公开(公告)号:US20190010020A1

    公开(公告)日:2019-01-10

    申请号:US15642465

    申请日:2017-07-06

    CPC classification number: B66B5/0025 B66B5/0037

    Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of data from one or more sensors of an elevator sensor system while a calibration device applies a known excitation. The computing system compares an actual response to an expected response to the known excitation using a trained model. The computing system performs analytics model calibration to calibrate the trained model based on one or more response changes between the actual response and the expected response.

    Elevator vandalism monitoring system

    公开(公告)号:US11148906B2

    公开(公告)日:2021-10-19

    申请号:US16027878

    申请日:2018-07-05

    Inventor: Teems E. Lovett

    Abstract: An elevator vandalism monitoring system is configured to determine if an act of vandalism upon a component of an elevator system has occurred. The vandalism monitoring system includes a sensor, a processor, an electronic storage medium, a model, and a comparison module. The sensor is configured to monitor a detectable parameter associated with the component, and output a detectable parameter signal. The processor is configured to receive the detectable parameter signal. The model is stored in the electronic storage medium, and is associated with an expected parameter. The comparison module is executed by the processor, and is configured to generally compare the model to the detectable parameter signal for determining if a parameter anomaly exists.

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