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Evaluating the Robustness of an Algorithm Determining Key Parameters of Resonant Sensors

机译:评估谐振传感器键参数的算法的鲁棒性

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Resonating sensors are commonly used for various measurement tasks, e.g., as microbalances as well as for viscosity and density measurements of viscoelastic media. The monitored parameters usually are the resonance frequency and the quality (Q) factor of the mechanical resonance which is measured electrically. The measurement is affected by parasitic effects induced by the sensor design but also by the measurement setup. Accurate calculation of resonance parameters from measured sensor data then is one of the most crucial points affecting measurement precision of such sensor systems. In this contribution we demonstrate the performance of a recently proposed algorithm used to accurately determine resonance frequency and Q-factor from sensor data that is significantly disturbed by parasitic sensor effects.
机译:谐振传感器通常用于各种测量任务,例如作为微稳图以及粘弹性介质的粘度和密度测量。所监测的参数通常是电气测量的机械谐振的谐振频率和质量(Q)因子。测量受传感器设计引起的寄生效应的影响,也受测量设置。然后,精确计算来自测量传感器数据的谐振参数,然后是影响这种传感器系统的测量精度的最重要点之一。在这一贡献中,我们展示了最近提出的算法的性能,用于精确地确定来自寄生传感器效应的传感器数据的谐振频率和Q系数的性能。

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