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A new fluctuation assessment method for the step response signals of pressure sensors

机译:压力传感器阶跃响应信号波动评估的新方法

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In dynamic measurement of a step pressure, the response signals from the sensor are usually influenced by mechanical vibrations. It is difficult to accurately describe the dynamic characteristics of step pressures by directly using the collected response signals therefore leading to unsatisfactory measurement results. In this paper, a new method is proposed to quantitatively assess the fluctuation characteristics of sensor step response signals. Firstly, the collected response signal is partitioned into subsequences, and a series of reconstructed sequences are obtained from each subsequence by introducing the delay and the embedding dimension. Then, an evaluation indicator named fluctuation measure is defined for each subsequence as the average of a specific fuzzy operator for any two reconstructed sequences. Finally, the composite fluctuation measure of the response signal is calculated by taking the ordered weighted mean of fluctuation measures of these subsequences. Measurement experiments with different sensors and vibration conditions are carried out to validate the performance of our method. The results show that the proposed method works well in quantifying the fluctuation characteristics of step response signals. Comparative experiments also demonstrate the superiority of the proposed method over existing approaches. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在动态测量阶跃压力时,来自传感器的响应信号通常会受到机械振动的影响。直接使用收集到的响应信号很难准确地描述阶跃压力的动态特性,因此导致测量结果不理想。本文提出了一种定量评估传感器阶跃响应信号波动特征的新方法。首先,将收集的响应信号划分为子序列,并通过引入延迟和嵌入维数从每个子序列中获得一系列重构序列。然后,为每个子序列定义一个名为波动度量的评估指标,作为任意两个重构序列的特定模糊算子的平均值。最后,通过采用这些子序列的波动度量的有序加权平均值来计算响应信号的复合波动度量。进行了不同传感器和振动条件的测量实验,以验证我们方法的性能。结果表明,该方法可以很好地量化阶跃响应信号的波动特性。比较实验也证明了所提出的方法优于现有方法的优越性。 (C)2018 Elsevier Ltd.保留所有权利。

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