The flight dynamics of flapping-wing micro air vehicles result from a complicated relationship between aerodynamics and structural dynamics. This relationship has both frequency-domain aspects and time-domain aspects that are each critical. As such, analyzing data from a flapping wing requires techniques that can process information related to both of these domains. This paper introduces wavelet analysis as a tool that determine the frequency content of time-varying deflections. The resulting wavelet map presents a time-frequency domain representation that relates both the time-domain aspects and frequency-domain aspects. Data is analyzed using wavelet processing from a set of wings with different structural dynamics and different flapping parameters whose responses in the vertical and span-wise directions are recorded using digital image correlation. The resulting wavelet maps demonstrate the variations in energy content and temporal distribution associated with the deflections.
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