Information technology of monitoring of phase delay fluctuations based on indirect measurement data processing

Abstract

The paper proposes the use of correlation analysis to process experimental data from indirect measurements to monitor phase delay fluctuations in fuel-air mixture supply to internal combustion engine cylinders. It is established that a 60% uncertainty in crankshaft rotation unevenness measurement still enables unambiguous identification of these maxima. Additionally, the influence of additive "white noise" on cross-correlation function graphs is investigated under varying gain coefficients of the measurement signal modeling scheme. Results show that even with a 15% measurement uncertainty of a deterministic crankshaft rotation unevenness signal, the mutual correlation function remains effective for monitoring phase delay fluctuations in cylinder torques relative to standard engine settings.