The Laplace Wavelet Flutter Testing Signal Analysis

In this paper, according to the characters and processing requirements of flutter test data, based on the general theory of Wavelet Analysis, a set of Laplace wavelets are introduced. The theory of Laplace wavelet was analyzed. A correlation filtering approach was introduced using the Laplace wavelet to decompose a signal into impulse responses of single mode subsystems. Modal parameters can be estimated by correlation filtering signal with Laplace wavelet. The factors such as dense mode, damping ratio and noise were also taken into consideration. The feasibility of application of Laplace wavelet in FTDP was discussed. The Laplace wavelet algorithm was achieved by using Matlab in this paper. At last the properties of the Laplace wavelet algorithm was demonstrated by digital simulation signal and wind tunnel flutter test signal. It comes the result that correlation filtering using Laplace is a very promising and feasible approach.