Quantifying the quality of unsteady pressure reconstructed from remotely measured pressure signals

Remotely measured pressure systems using tap/tubing geometries are robust and flexible but are limited in frequency response due to the signal distortion induced by the tubing between the tap and the pressure transducer.  Many users typically use tap/tubing pressure systems for steady state measurements or dynamic measurements at low frequencies. Analytical system response models that account for the physical system have been used to extend the frequency response of the remotely measured systems.  However, noise in the measurement system and inaccurate estimates of the analytical system response model leads to inaccuracies in the reconstructed pressure.  A dynamic pressure calibration process is required to quantify these uncertainties.  Furthermore, the bandwidth and quality of the reconstruction are dependent on the input signal characteristics, the accuracy of the analytical model, and the ability to minimize aliasing of signal noise in the reconstruction. Tools developed to provide high frequency dynamic calibrations for a wide variation of tubing geometries are presented, and the effect of noise minimization and parameter sensitivity on the reconstructed signal is discussed.