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Parameter Identification and Measurement Uncertainty for Dynamic Measurement Systems

机译:动态测量系统的参数辨识和测量不确定度

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The analysis of dynamic measurements requires new approaches to the estimation of the value of the measurand as well as for the evaluation of measurement uncertainty. In static measurements the value of the measurand is represented by a single value or a tuple of values, and estimation of the measurand typically requires solving algebraic equations. In dynamic measurements the value of the measurand varies with time. In addition, the response of the measurement device depends on the frequency content in the measured time series. A typical workflow in the analysis of a dynamic measurement is shown in figure 1. The measurand is the system input signal and the available data the corresponding output signal. Estimation of the measurand requires a mathematical model for the dynamic system which covers its frequency-dependent response in the relevant frequency range. This cannot be accomplished by algebraic equations.
机译:动态测量的分析需要新的方法来估计被测量者的值以及评估测量的不确定性。在静态测量中,被测量者的值由单个值或值的元组表示,并且被测量者的估计通常需要求解代数方程。在动态测量中,被测量值随时间变化。此外,测量设备的响应取决于所测量时间序列中的频率含量。动态测量分析中的典型工作流程如图1所示。被测量者是系统输入信号,可用数据是相应的输出信号。被测对象的估计需要动态系统的数学模型,该模型应涵盖其在相关频率范围内的频率相关响应。这不能通过代数方程来完成。

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