TY - GEN
T1 - Calculation of the fan rotational speed based on flyover recordings for improving aircraft noise prediction models
AU - Merino Martinez, Roberto
AU - Snellen, Mirjam
AU - Simons, Dick
PY - 2019
Y1 - 2019
N2 - The enforcement of noise control regulations around airports usually depends on the estimations of aircraft noise prediction models. Current best-practice noise contour calculation methods assume default engine thrust values depending on the engine type and the altitude of the aircraft. These prediction tools provide a single noise level for a certain aircraft type in a certain flight phase and at a specific distance from the observer. In practice, however, changes in the thrust occur and cause variations in the noise levels of several decibels. In this paper, an approach is presented to estimate the fan rotational speed N1% (and hence the thrust) directly from flyover audio recordings. This method estimates the blade passing frequency (BPF) of the fan by searching its characteristic tonal peak (and its higher harmonics) and accounting for the Doppler effect. This method was applied to more than 400 measurements of Airbus A330-300 aircraft. The results show a significant correlation between the recorded noise levels and the fan rotational speed, explaining up to 43% of the variability in noise levels. Considering the calculated N1% values in the noise prediction models notably increases the agreement of the estimations with the recorded noise levels.
AB - The enforcement of noise control regulations around airports usually depends on the estimations of aircraft noise prediction models. Current best-practice noise contour calculation methods assume default engine thrust values depending on the engine type and the altitude of the aircraft. These prediction tools provide a single noise level for a certain aircraft type in a certain flight phase and at a specific distance from the observer. In practice, however, changes in the thrust occur and cause variations in the noise levels of several decibels. In this paper, an approach is presented to estimate the fan rotational speed N1% (and hence the thrust) directly from flyover audio recordings. This method estimates the blade passing frequency (BPF) of the fan by searching its characteristic tonal peak (and its higher harmonics) and accounting for the Doppler effect. This method was applied to more than 400 measurements of Airbus A330-300 aircraft. The results show a significant correlation between the recorded noise levels and the fan rotational speed, explaining up to 43% of the variability in noise levels. Considering the calculated N1% values in the noise prediction models notably increases the agreement of the estimations with the recorded noise levels.
KW - Aircraft noise
KW - Noise prediction models
KW - Turbofan noise
UR - http://www.scopus.com/inward/record.url?scp=85092524162&partnerID=8YFLogxK
U2 - 10.18154/RWTH-CONV-239171
DO - 10.18154/RWTH-CONV-239171
M3 - Conference contribution
T3 - Proceedings of the International Congress on Acoustics
SP - 1600
EP - 1607
BT - Proceedings of the 23rd International Congress on Acoustics
A2 - Ochmann, Martin
A2 - Michael, Vorlander
A2 - Fels, Janina
T2 - ICA 2019: 23rd International Congress on Acoustics
Y2 - 9 September 2019 through 13 September 2019
ER -