Abstract In order to solve the problem that due to the influence caused by strong noises the characteristic signal could not be extracted effectively, the analysis method of vibro-acoustic modulation signal based on empirical mode decomposition and singular value decomposition is proposed. The signal is decomposed by empirical mode decomposition for selecting the imf component, then singular value decomposition is conducted on the imf component for obtaining the nonlinear characteristic signal. Kolmogorov entropy of the characteristic signal was calculated. Secondly, the algorithm was applied to detect the actual carbon fiber composites. Finally, Kolmogorov entropy is used to assess damages. The method is successfully extracted characteristic signal, achieving diagnosis and quantitative assessment of the damages and the algorithm has strong adaptive capacity.
ZHENG Hui-feng,YU Sang-sang,WANG Yue-bing, et al. Research on The Analysis Method of Vibro- acoustic Modulation Signal Based on EMD and SVD[J]. Acta Metrologica Sinica, 2016, 37(4): 398-401.
2016, Vol. 37 
