基于压缩感知的多级风扇周向声模态重构

Owing to the sparsity of azimuthal acoustic modes at the blade passing frequency, a compressive sensing-based method for azimuthal dominant mode detection of multi-stage fan was proposed to realize the order identification and amplitude reconstruction. Acoustic field experiment for a multi-stage fan was carried out. The compressive sensing model with azimuthal acoustic modes reconstruction was established, which can detect the dominant mode accurately from fewer microphones. The influences of the number and placement strategy of microphones on the reconstruction accuracy were discussed. Under the determined acoustic field, experimental results showed that the signal can be accurately reconstructed with a probability of over 90% when the compressive sensing constant C was greater than 3.6. Both uniform and approximately uniform placement of microphones should be avoided when designing the measurement matrix, which may lead to the failure of acoustic mode reconstruction.