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Statistical Calibration Via Gaussianization in Hot-Wire Anemometry

机译:通过热线风速测量中的高斯化进行统计校准

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We introduce a statistical method based on Gaussianization to esti-mate the nonlinear calibration curve of a hot-wire probe, that relatesthe input ow velocity to the output (measured) voltage. The methoduses as input a measured sequence of voltage samples, corresponding todierent (unknown) ow velocities in the desired operational range, and(only) two measured voltages along with their known (calibrated) owvelocities. The novel method is validated against standard calibrationmethods using data acquired by the Technion's wind-tunnel laboratory'shot-wire probes, as well as other calibration data available in the litera-ture.
机译:我们将基于高斯化的统计方法引入到估计 匹配热线探针的非线性校准曲线,该曲线与 输入 速度与输出(测量)电压的关系。方法 使用测量的电压采样序列作为输入,对应于 差异(未知) 流速在所需的操作范围内,并且 (仅)两个测得的电压以及它们的已知(校准)电压 ow 速度。该新方法已通过标准校准验证 方法使用Technion风洞实验室的数据 热线探针以及文献中提供的其他校准数据 ture。

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