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

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.