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Analysis of dynamic measurements and determination of time-dependent measurement uncertainty using a second-order model

机译:动态测量分析和使用二阶模型确定随时间变化的测量不确定度

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The task of analysing dynamic measurements is considered for the case that the input-output behaviour of the employed sensor can be described in terms of a second-order dynamic model. It is assumed that estimates of the parameters of this model are available which have been determined by the analysis of previous dynamic calibration measurements. The goal is to estimate the unknown input of the sensor given its discrete-time output signal. It is proposed to apply an FIR filter which is constructed according to the underlying dynamic model. The uncertainties associated with the obtained estimates of the time-dependent measurand are then determined by taking into account the uncertainty associated with the estimates of the parameters of the dynamic model, the uncertainty of the sensor's output signal and the applied signal processing steps. The proposed procedure allows real-time calculations including the real-time calculation of uncertainties, and it could therefore be directly integrated into the measurement chain. Utilizing dynamic calibration measurements of accelerometers, the proposed analysis is demonstrated by its application to acceleration measurements upon shock excitations.
机译:对于可以采用二阶动态模型描述所用传感器的输入输出行为的情况,可以考虑分析动态测量的任务。假定该模型参数的估计值可用,这些估计值是通过分析先前的动态校准测量确定的。目的是在给定其离散时间输出信号的情况下估计传感器的未知输入。建议应用根据底层动态模型构造的FIR滤波器。然后,通过考虑与动态模型参数的估计值相关的不确定性,传感器输出信号的不确定性和所应用的信号处理步骤,来确定与所获得的时间相关测量值的估计相关的不确定性。所提出的过程允许实时计算,包括不确定性的实时计算,因此可以直接集成到测量链中。利用加速度计的动态校准测量,所提出的分析通过将其应用于冲击激励下的加速度测量得到了证明。

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