Penetration Overload Signal Time Frequency Analysis Method Based on Adaptive OVMD
The traditional time-frequency analysis method for overload signals is widely used in the study of the multi-level target adhesion mechanism and the optimization of signal processing methods for high-speed penetra-tion fuses,but the modal aliasing effect has become a bottleneck in its application.To address this issue,this paper proposed a time-frequency analysis method for penetration overload signals based on adaptive optimal vari-ational mode decomposition(OVMD).Considering that the frequency components of the penetration overload signal were complex and had the characteristics of non-stationarity and randomness,this method took the alias-ing effect and sparsity of modes as the decomposition constraints of the signal and adopted the non-dominated sorting genetic algorithm(NSGA-Ⅱ)to search for and obtain the number of decompositions and the quadratic penalty factors of the variational mode decomposition algorithm.Then,based on the parameter-optimized varia-tional model,the center frequency and bandwidth of each modal function were determined,and the different fre-quency components of the overload signal were adaptively decomposed.Finally,through the analysis results of the measured penetration overload signal,it was observed that compared with the general empirical mode decom-position algorithm,this method could effectively suppress the modal aliasing phenomenon and had better resolu-tion in both the time and frequency domains.It could provide effective information support for signal processing,simulation model verification,and structural design of the fuze system.
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