ESTIMATING DYNAMIC THRUST OR SHAFT POWER OF AN ENGINE

    公开(公告)号:US20170370790A1

    公开(公告)日:2017-12-28

    申请号:US15548695

    申请日:2015-12-03

    IPC分类号: G01L5/13 F01D21/00

    摘要: A measuring system is provided that includes a turbine engine thrust estimator that computes “virtual measurements” of dynamic engine thrust and other parameters of interest from test cell data in a very short amount of time. The measuring system ‘tunes’ a user's engine model, in a numerical propulsion system simulation, by optimizing system biases and health parameters to match the sensor outputs of a set of steady state data points across the operating range. The tuned model is then utilized by the measuring system to create a constant gain extended Kalman filter that is added directly within a code of the numerical propulsion system simulation. Results, including thrust, from the numerical propulsion system simulation with Kalman filter are then presented as ‘actual’ corrected data.

    STRAIN GAGE CALIBRATION SYSTEM
    6.
    发明申请

    公开(公告)号:US20180128701A1

    公开(公告)日:2018-05-10

    申请号:US15571547

    申请日:2016-03-03

    IPC分类号: G01L25/00

    CPC分类号: G01L25/00 G01M5/005 G01M7/08

    摘要: A system for strain gage calibration includes a data acquisition system operable to receive sensor inputs from a force sensor as a force input and a strain gage as a strain output. The strain gage detects a strain measurement of a structure under test in response to an excitation force applied by an excitation device, and the force sensor detects the excitation force. The system also includes a data processing system operable to perform calibration feature extraction of a plurality of calibration features from time and frequency domain responses of the force input and the strain output, and to determine a calibration factor of the strain gage based on a correlation of the calibration features to reference calibration features. The force input and the strain output are preprocessed before the calibration feature extraction to filter noise, remove outlying data, and temporally align the force input and the strain output.