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There are some difficulties for conventional Near-field Acoustic Holography (NAH) to analyze acoustic radiation from a large scale structure. To solve the problem, a method for NAH of large scale structures was presented. In the method, the normal velocities or sound pressure at a few points on the surface of the structure are measured by transducers, and that at other position on the surface of the structure are calculated by means of the radiation mode theory, then the radiated acoustic field may be analyzed by NAH. Since complex coupling terms no longer appear in the radiation modes, and only a few orders of modes are required to describe the acoustic field at low-to-mid frequencies, the accuracy of NAH analysis may be ensured. Moreover, according to the nesting property of radiation modes, the radiation modes at other frequencies can be replaced by that at maximum frequency, consequently the calculating procedure may be simplified and the calculating speed quicken. Finally, NAH analysis of acoustic radiation from large scale structures was illustrated using a 1m×1m simply supported steel plate. The results show that the radiated acoustic field can be reconstructed accurately under the circumstances of a few measurement points.

The conventional planar near-field acoustic holography technology cannot exactly refecact the modulation characteristics of cyclostationary sound field radiated from the rotating machineries,and the spurious energy distribution of sidebands exists in its hologram. When the cyclic spectral density (CSD), instead of the energy spectrum of sound pressure is adopted as a reconstructed physical quantity, the modulating wave and carrier wave components of the cyclostationary sound field can be extracted exactly. Focusing on the complicated nature of calculation and the accuracy of feature extracting, the CSD gathering slice method is proposed, and the effect of the additive white noise on the reconstruction is analyzed. The results of the simulation and experiments show that the method has the better anti-noise performance and sound source can be localized exactly.