Enhanced measurement validation via ultra-precise spectral analysis

Abstract Validating real-time measurements from a sensor/instrument is multifaceted challenge. One goal the provision of dynamic uncertainty analysis, ideally incorporating influence instrument faults and local environment. Such an analysis requires broader model behaviour, accommodating non-ideal operational conditions. It may also require wider range transducer data than when ideal, fault-free operation assumed. A companion presentation describes ultra-precise Fast Fourier Transform (FFT) technique. In this presentation, technique applied to Coriolis mass flow meter, resonant sensor with rich spectral characteristics. Typically, meter driven in single natural mode mechanical vibration; frequency varies fluid density, while rate density calibration coefficients assume fixed ratio adjacent vibration mode. prototype can operate two modes simultaneously. The new FFT exhibits high precision (mode frequencies independent sensors agree by up 10−8 Hz), allowing precise tracking true for on-line measurement validation. Additional signal components, such as mains noise external vibration, be identified monitored.