Extraction of the acoustic modal content of a turbofan engine in non stationary conditions using order analysis
Résumé
A modal analysis of tonal fan noise is applied to deceleration measurements collected during the European
project TurboNoiseBB at the Anecom test facility. Measurement data are preprocessed using two approaches
for order extraction, one based on angular resampling of signals and the other based on instantaneous extraction
of the complex envelopes. The instantaneous modal content is then obtained using modal identification and
results from both preprocessing methods are compared. The azimuthal mode content of the three first Blade
Passing Frequencies (BPF) is obtained through an iterative Bayesian inverse approach. Particularly the modal
spectrum for the second BPF shows an interesting pattern with peaks and troughs throughout the deceleration.
It suggests that detected modes are influenced by the azimuthal distribution of probes.
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