Singular Value Spectrum Decomposition and Its Application to the acoustic vibration test parameters’ processing of supersonic aircraft

Liu Liu Yan Yunju Li Pengbo Zhang Guojun

Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (3) : 28-34.

PDF(2285 KB)
PDF(2285 KB)
Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (3) : 28-34.

Singular Value Spectrum Decomposition and Its Application to the acoustic vibration test parameters’ processing of supersonic aircraft

  • Liu Liu Yan Yunju Li Pengbo Zhang Guojun
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Abstract

In order to realize the precise identification of the acoustic vibration test parameters about the supersonic aircraft, a new filtering method combining phase space reconstruction and singular spectrum decomposition is proposed. Firstly, feasibility of this method is demonstrated through numerical simulation. Secondly, in order to separate the signal subspace and the noise subspace, phase space reconstruction of the test parameters is processed, and the attractor track matrix is also decomposed with singular value decomposition (SVD). Finally, aiming at the shortage of the maximum difference spectrum theory, the concept of optimizing difference spectrum theory is given, and reconstruction is proposed on the basis of the peak position of the optimizing difference spectrum. Reconstruction results show that the proposed method is suitable for processing the acoustic vibration test data of the supersonic aircraft, providing a solution for the precise description of the supersonic aircraft flying state.

 

 

 

Key words

phase space reconstruction / singular value decomposition / supersonic / acoustic vibration test / signal processing

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Liu Liu Yan Yunju Li Pengbo Zhang Guojun. Singular Value Spectrum Decomposition and Its Application to the acoustic vibration test parameters’ processing of supersonic aircraft[J]. Journal of Vibration and Shock, 2015, 34(3): 28-34
PDF(2285 KB)

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